{"tournaments":[{"id":"6de9285a-e5ae-4c8c-90da-fbbf54acf014","task_name":"task-franka-pickplace-multibase","task_version":1,"tournament_version":1,"task_gh":"https://github.com/nepher-ai/task-franka-pickplace-multibase","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1781809701,"contest_end_time":1782846501,"evaluation_start_time":1782846513,"evaluation_end_time":1782932913,"submit_window_start_time":1782760101,"reward_start_time":1783019313,"reward_end_time":1783062513,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1782842913,"public_eval_buffer_hours":1,"contest_start_block":8434518,"contest_end_block":8520918,"submit_window_start_block":8513718,"evaluation_start_block":8520919,"evaluation_end_block":8528119,"reward_start_block":8535319,"reward_end_block":8538919,"reward_block":8535319,"winner_agent_id":"500555d2-91d0-47c6-a83b-b59333c1df5f","winner_hotkey":"5F3q7NSdKnSykFZHXVGHy1uAb8yXcGYVLCa6bperTuwMpDHy","winner_score":0.25707592592592593,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-07-02T12:15:06.378532","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/f0d9a7fb-d33b-4070-a17d-902488b8d780.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=e0f1d7a13c528630e67d2faa58cf09592b26fb8ed7372cb80049132d6a18bf1f"],"gallery":[{"id":"f0d9a7fb-d33b-4070-a17d-902488b8d780","title":"Franka Pick Place Multi Base","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/f0d9a7fb-d33b-4070-a17d-902488b8d780.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=e0f1d7a13c528630e67d2faa58cf09592b26fb8ed7372cb80049132d6a18bf1f","file_size":19953880,"width":null,"height":null,"display_order":0}],"created_at":"2026-06-17T06:50:30.555189","updated_at":"2026-07-03T08:52:57.516450","title":"Franka - Pick and Place - Multi Base","subtitle":"Train a Franka robot to pick and place objects from multiple randomized bases with robust manipulation policies.","overview":"Develop a robotic manipulation policy that enables a Franka Panda arm to reliably pick and place objects across multiple base configurations and randomized environments. The challenge focuses on generalization, precision, and success rate under varying object and container positions. The task is designed for Isaac Lab and EnvHub-based evaluation.","tags":["robotics","manipulation","franka","pick place","arm"],"difficulty":"beginner","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"432e3b41-87b1-407c-951a-ba0e645a957b","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/432e3b41-87b1-407c-951a-ba0e645a957b.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=0677523efe685cae278b3bb30698f5f41a026e634414cefe83e110658fdc0e28","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":8434518,"contest_duration_blocks":86400,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":7200,"reward_duration_blocks":3600,"max_submission_size":100},"statistics":{"agents_count":46,"participants_count":28,"eligible_count":29,"validator_count":4,"average_score":0.15347790549169862,"top_score":0.2609592592592592,"score_phase":"private"}},{"id":"6f7cb86e-099f-4bb2-9436-e58c6b6367b0","task_name":"franka-mani-base-v0","task_version":1,"tournament_version":2,"task_gh":"https://github.com/nepher-ai/task-franka-mani-base","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1780971596,"contest_end_time":1781662796,"evaluation_start_time":1781662808,"evaluation_end_time":1781749208,"submit_window_start_time":1781576396,"reward_start_time":1781792408,"reward_end_time":1781878808,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1781659208,"public_eval_buffer_hours":1,"contest_start_block":8366000,"contest_end_block":8423600,"submit_window_start_block":8416400,"evaluation_start_block":8423601,"evaluation_end_block":8430801,"reward_start_block":8434401,"reward_end_block":8441601,"reward_block":8434401,"winner_agent_id":"49216191-5efa-4821-bed9-e1c269fe775e","winner_hotkey":"5FLgaUekNnRUCvDKFtK75MxsB44figqBnvgG8LRfLw7fgzrA","winner_score":0.9011334076551467,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-06-18T01:04:23.817183","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/697805fa-1471-4f0e-bcfb-5f0a21b65afa.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=5e923b2a9b0b647dc25c955da1973945d22b14aee38fd6dc966b829323e5597b"],"gallery":[{"id":"697805fa-1471-4f0e-bcfb-5f0a21b65afa","title":"Franka Pick and Place","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/697805fa-1471-4f0e-bcfb-5f0a21b65afa.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=5e923b2a9b0b647dc25c955da1973945d22b14aee38fd6dc966b829323e5597b","file_size":33500417,"width":null,"height":null,"display_order":0}],"created_at":"2026-06-05T09:45:06.394516","updated_at":"2026-06-23T03:58:32.306794","title":"Franka Panda - Pick and Place - Basic - Phase 2","subtitle":"Train hierarchical policies for robust Franka Panda pick-and-place manipulation.","overview":"Hierarchical robotic manipulation benchmark using Isaac Lab and the Franka Panda arm. Participants develop or improve high-level planning and low-level control policies for robust pick-and-place tasks under randomized tabletop conditions.\n","tags":["robotics","manipulation","franka","pickplace","arm"],"difficulty":"beginner","is_featured":true,"cover_image_url":null,"browse_thumbnail_media_id":"8d0edd1a-658a-4823-a6c7-869c42189482","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/8d0edd1a-658a-4823-a6c7-869c42189482.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7fb142273feadcf2adaaa6ac8681d95648a573bd1187973445dd7d95b92ccc7d","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":8366000,"contest_duration_blocks":57600,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":3600,"reward_duration_blocks":7200,"max_submission_size":100},"statistics":{"agents_count":57,"participants_count":38,"eligible_count":47,"validator_count":4,"average_score":0.7246199555126919,"top_score":0.9011334076551467,"score_phase":"private"}},{"id":"ef362a8a-378d-4633-bc2d-d934fed3c817","task_name":"franka-mani-base-v0","task_version":1,"tournament_version":1,"task_gh":"https://github.com/nepher-ai/task-franka-mani-base","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1780011628,"contest_end_time":1780443628,"evaluation_start_time":1780443640,"evaluation_end_time":1780530040,"submit_window_start_time":1780357228,"reward_start_time":1780573240,"reward_end_time":1780616440,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1780440040,"public_eval_buffer_hours":1,"contest_start_block":8286101,"contest_end_block":8322101,"submit_window_start_block":8314901,"evaluation_start_block":8322102,"evaluation_end_block":8329302,"reward_start_block":8332902,"reward_end_block":8336502,"reward_block":8332902,"winner_agent_id":"0d02b123-0384-4469-96e5-dfc75ce30261","winner_hotkey":"5FLgaUekNnRUCvDKFtK75MxsB44figqBnvgG8LRfLw7fgzrA","winner_score":0.7310550156294402,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-06-04T03:48:36.377441","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":null,"gallery":null,"created_at":"2026-05-28T14:28:34.466434","updated_at":"2026-06-05T10:51:40.747591","title":"Franka Panda - Pick and Place - Basic","subtitle":"Train hierarchical policies for robust Franka Panda pick-and-place manipulation.","overview":"Hierarchical robotic manipulation benchmark using Isaac Lab and the Franka Panda arm. Participants develop or improve high-level planning and low-level control policies for robust pick-and-place tasks under randomized tabletop conditions.\n","tags":["robotics","manipulation","franka","pickplace","arm"],"difficulty":"beginner","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"8d0edd1a-658a-4823-a6c7-869c42189482","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/8d0edd1a-658a-4823-a6c7-869c42189482.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7fb142273feadcf2adaaa6ac8681d95648a573bd1187973445dd7d95b92ccc7d","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":8286101,"contest_duration_blocks":36000,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":3600,"reward_duration_blocks":3600,"max_submission_size":100},"statistics":{"agents_count":27,"participants_count":23,"eligible_count":22,"validator_count":4,"average_score":0.4459911441682938,"top_score":0.7310550156294403,"score_phase":"private"}},{"id":"b574647d-67d7-47b3-989f-e9661f3cf8b7","task_name":"spot-nav-lidar-depth","task_version":1,"tournament_version":3,"task_gh":"https://github.com/nepher-ai/task-spot-nav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1777478108,"contest_end_time":1778342108,"evaluation_start_time":1778342120,"evaluation_end_time":1778428520,"submit_window_start_time":1778255708,"reward_start_time":1778514920,"reward_end_time":1778601320,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1778338520,"public_eval_buffer_hours":1,"contest_start_block":8074984,"contest_end_block":8146984,"submit_window_start_block":8139784,"evaluation_start_block":8146985,"evaluation_end_block":8154185,"reward_start_block":8161385,"reward_end_block":8168585,"reward_block":8161385,"winner_agent_id":"f208d6b2-758a-45be-a1a9-533cad50cfe8","winner_hotkey":"5Et1EgHSQ3E3Y163Xp1deuVTC4VX5rRDepk9VvcdRpsSfqPU","winner_score":0.7662654086130662,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-05-11T09:15:36.074180","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/6df250a0-7d93-4669-9225-1fdaa3073e29.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=548966124bb3668ec942361504a4b5625adb6d0bd669222e3d7b31e175fa2d6d"],"gallery":[{"id":"6df250a0-7d93-4669-9225-1fdaa3073e29","title":"Spot-Nav-Play-1","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/6df250a0-7d93-4669-9225-1fdaa3073e29.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=548966124bb3668ec942361504a4b5625adb6d0bd669222e3d7b31e175fa2d6d","file_size":21151289,"width":null,"height":null,"display_order":0}],"created_at":"2026-04-28T02:15:31.864667","updated_at":"2026-05-28T14:50:20.560800","title":"Spot Navigation Challenge - Phase 3","subtitle":"Train robust quadruped navigation policies for unseen real-world and simulated obstacle courses","overview":"Train Spot to autonomously navigate complex obstacle-filled environments with maximum reliability, safety, and generalization across unseen benchmark maps.","tags":["robotics","reinforcement-learning","navigation","isaac-lab","quadruped"],"difficulty":"intermediate","is_featured":true,"cover_image_url":null,"browse_thumbnail_media_id":"b74b1343-cb07-4ed4-a726-eca89fa5f6b0","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/b74b1343-cb07-4ed4-a726-eca89fa5f6b0.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=456ce81b65fdc7aa3798eb1b1823b6920d88798b719b2049e038089d6cdd2241","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":8074984,"contest_duration_blocks":72000,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":7200,"reward_duration_blocks":7200,"max_submission_size":1000},"statistics":{"agents_count":44,"participants_count":36,"eligible_count":44,"validator_count":4,"average_score":0.6737910014147283,"top_score":0.7662678284834441,"score_phase":"private"}},{"id":"8fa4fcf3-a56a-4c39-a457-c1f201850b73","task_name":"spot-nav-lidar-depth","task_version":1,"tournament_version":2,"task_gh":"https://github.com/nepher-ai/task-spot-nav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1776160080,"contest_end_time":1776764880,"evaluation_start_time":1776764892,"evaluation_end_time":1776851292,"submit_window_start_time":1776678480,"reward_start_time":1776854892,"reward_end_time":1776941292,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1776761292,"public_eval_buffer_hours":1,"contest_start_block":7965154,"contest_end_block":8015554,"submit_window_start_block":8008354,"evaluation_start_block":8015555,"evaluation_end_block":8022755,"reward_start_block":8023055,"reward_end_block":8030255,"reward_block":8023055,"winner_agent_id":"445b93ea-70c9-4095-b0cc-5c519fee9e09","winner_hotkey":"5HQH3vtK51SVz3f6GQjFZukTeGZEBDkjDhL9Kq4c5VpuQmm1","winner_score":0.7573377201841907,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-04-21T23:36:00.484628","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/041370d6-56ac-457e-8693-9f4be3684f5a.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=4f04fb9e76fb29e2bd517dd2a83aa8b12c19d15df64799bb378af267dbd875ce","https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/6df250a0-7d93-4669-9225-1fdaa3073e29.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=548966124bb3668ec942361504a4b5625adb6d0bd669222e3d7b31e175fa2d6d"],"gallery":[{"id":"041370d6-56ac-457e-8693-9f4be3684f5a","title":"Spot-Nav-Play-2","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/041370d6-56ac-457e-8693-9f4be3684f5a.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=4f04fb9e76fb29e2bd517dd2a83aa8b12c19d15df64799bb378af267dbd875ce","file_size":11166621,"width":null,"height":null,"display_order":0},{"id":"6df250a0-7d93-4669-9225-1fdaa3073e29","title":"Spot-Nav-Play-1","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/6df250a0-7d93-4669-9225-1fdaa3073e29.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=548966124bb3668ec942361504a4b5625adb6d0bd669222e3d7b31e175fa2d6d","file_size":21151289,"width":null,"height":null,"display_order":1}],"created_at":"2026-04-14T07:55:33.236478","updated_at":"2026-05-14T02:39:39.137486","title":"Spot Navigation Challenge - Phase 2","subtitle":"Train robust quadruped navigation policies for unseen real-world and simulated obstacle courses","overview":"Train Spot to autonomously navigate complex obstacle-filled environments with maximum reliability, safety, and generalization across unseen benchmark maps.","tags":["robotics","reinforcement-learning","navigation","isaac-lab","quadruped"],"difficulty":"intermediate","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"b74b1343-cb07-4ed4-a726-eca89fa5f6b0","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/b74b1343-cb07-4ed4-a726-eca89fa5f6b0.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=456ce81b65fdc7aa3798eb1b1823b6920d88798b719b2049e038089d6cdd2241","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7965154,"contest_duration_blocks":50400,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":300,"reward_duration_blocks":7200,"max_submission_size":1000},"statistics":{"agents_count":69,"participants_count":50,"eligible_count":70,"validator_count":4,"average_score":0.7332974828138508,"top_score":0.7575208994978132,"score_phase":"private"}},{"id":"bece6306-9ce2-4bd6-a31d-50f7ff33c939","task_name":"spot-nav-lidar-depth","task_version":1,"tournament_version":1,"task_gh":"https://github.com/nepher-ai/task-spot-nav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1775045843,"contest_end_time":1776005843,"evaluation_start_time":1776005855,"evaluation_end_time":1776092255,"submit_window_start_time":1775919443,"reward_start_time":1776157055,"reward_end_time":1776243455,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1776002255,"public_eval_buffer_hours":1,"contest_start_block":7872300,"contest_end_block":7952300,"submit_window_start_block":7945100,"evaluation_start_block":7952301,"evaluation_end_block":7959501,"reward_start_block":7964901,"reward_end_block":7972101,"reward_block":7964901,"winner_agent_id":"26508be6-a25e-4795-b291-9b701537a0ab","winner_hotkey":"5EZ3vvzgoZujyUV47DqAhVcwDjkptEbehsYxEkhCJgGuR2ch","winner_score":0.6843290535656562,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-04-13T22:38:07.386061","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":null,"gallery":null,"created_at":"2026-03-27T13:31:26.297882","updated_at":"2026-05-14T02:39:02.466246","title":"Spot Navigation Challenge - Phase 1","subtitle":"Train robust quadruped navigation policies for unseen real-world and simulated obstacle courses","overview":"Train Spot to autonomously navigate complex obstacle-filled environments with maximum reliability, safety, and generalization across unseen benchmark maps.","tags":["robotics","reinforcement-learning","navigation","isaac-lab","quadruped"],"difficulty":"intermediate","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"b74b1343-cb07-4ed4-a726-eca89fa5f6b0","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/b74b1343-cb07-4ed4-a726-eca89fa5f6b0.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=456ce81b65fdc7aa3798eb1b1823b6920d88798b719b2049e038089d6cdd2241","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7872300,"contest_duration_blocks":80000,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":5400,"reward_duration_blocks":7200,"max_submission_size":1000},"statistics":{"agents_count":42,"participants_count":35,"eligible_count":42,"validator_count":4,"average_score":0.6551493016126932,"top_score":0.6843290535656562,"score_phase":"private"}},{"id":"108c8b05-91f8-4b8d-976b-bcb757f2eef9","task_name":"spot-waypoint-nav","task_version":1,"tournament_version":2,"task_gh":"https://github.com/nepher-ai/task-spot-waypointnav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1773939281,"contest_end_time":1774414481,"evaluation_start_time":1774414493,"evaluation_end_time":1774472093,"submit_window_start_time":1774328081,"reward_start_time":1774473293,"reward_end_time":1774559693,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1774410893,"public_eval_buffer_hours":1,"contest_start_block":7780088,"contest_end_block":7819688,"submit_window_start_block":7812488,"evaluation_start_block":7819689,"evaluation_end_block":7824489,"reward_start_block":7824589,"reward_end_block":7831789,"reward_block":7824589,"winner_agent_id":"3c92eda1-66bc-4017-84eb-43d6f3efbd92","winner_hotkey":"5DeoK1KCdM3a37ZY57BZMu6Y1psfQBBQ7buuho33czRMDBxT","winner_score":0.894258507420378,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-03-25T14:08:24.462404","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/7a285c4b-aa32-4fb7-a233-dbbf6dc0234b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7e1e952753993513091657026e137d0a27e14d9f9ac5b77dbf4fd601b8a3ce4b"],"gallery":[{"id":"7a285c4b-aa32-4fb7-a233-dbbf6dc0234b","title":"Spot Waypoint Edit","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/7a285c4b-aa32-4fb7-a233-dbbf6dc0234b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7e1e952753993513091657026e137d0a27e14d9f9ac5b77dbf4fd601b8a3ce4b","file_size":28003155,"width":null,"height":null,"display_order":3}],"created_at":"2026-03-10T13:41:21.236399","updated_at":"2026-05-14T02:39:19.549394","title":"Spot Waypoint Navigation Challenge - Phase 2","subtitle":"Train precision waypoint-following policies for quadruped robots across dynamic multi-goal navigation environments","overview":"Train Spot to complete multi-waypoint autonomous missions with precision, stability, and strong generalization across unseen navigation routes. ","tags":["robotics","waypoint-navigation","reinforcement-learning","quadruped","spot","isaac-lab","autonomous-systems","path-planning","multi-goal-navigation"],"difficulty":"beginner","is_featured":true,"cover_image_url":null,"browse_thumbnail_media_id":"f32c38cf-1990-40a8-abdd-250a693c2fdb","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/f32c38cf-1990-40a8-abdd-250a693c2fdb.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=10075664400da10ecbc761115e99d40eabe4af60faedc900f6e5a748110eb2ae","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7780088,"contest_duration_blocks":39600,"evaluation_duration_blocks":4800,"submit_window_blocks":7200,"reward_start_blocks":100,"reward_duration_blocks":7200,"max_submission_size":100},"statistics":{"agents_count":50,"participants_count":42,"eligible_count":51,"validator_count":4,"average_score":0.8631013856313432,"top_score":0.8935664927787969,"score_phase":"private"}},{"id":"7e0e96e9-9a3c-4de7-800e-9a0ae4ccf4bc","task_name":"spot-waypoint-nav","task_version":1,"tournament_version":1,"task_gh":"https://github.com/nepher-ai/task-spot-waypointnav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1772835691,"contest_end_time":1773318091,"evaluation_start_time":1773318103,"evaluation_end_time":1773404503,"submit_window_start_time":1773231691,"reward_start_time":1773408103,"reward_end_time":1773494503,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1773314503,"public_eval_buffer_hours":1,"contest_start_block":7688120,"contest_end_block":7728320,"submit_window_start_block":7721120,"evaluation_start_block":7728321,"evaluation_end_block":7735521,"reward_start_block":7735821,"reward_end_block":7743021,"reward_block":7735821,"winner_agent_id":"b860fbda-7104-4341-9fa2-19ed8e3682bb","winner_hotkey":"5F4C6KRkk781B57dFWdLAN6bhzRPAQaaiecabyj2rsRqPr8F","winner_score":0.8881443027003609,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-03-13T09:39:35.086080","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/7a285c4b-aa32-4fb7-a233-dbbf6dc0234b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7e1e952753993513091657026e137d0a27e14d9f9ac5b77dbf4fd601b8a3ce4b"],"gallery":[{"id":"7a285c4b-aa32-4fb7-a233-dbbf6dc0234b","title":"Spot Waypoint Edit","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/7a285c4b-aa32-4fb7-a233-dbbf6dc0234b.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=7e1e952753993513091657026e137d0a27e14d9f9ac5b77dbf4fd601b8a3ce4b","file_size":28003155,"width":null,"height":null,"display_order":0}],"created_at":"2026-03-03T06:27:07.641536","updated_at":"2026-05-14T02:40:31.122026","title":"Spot Waypoint Navigation Challenge - Phase 1","subtitle":"Train precision waypoint-following policies for quadruped robots across dynamic multi-goal navigation environments","overview":"Train Spot to complete multi-waypoint autonomous missions with precision, stability, and strong generalization across unseen navigation routes. ","tags":["robotics","waypoint-navigation","reinforcement-learning","quadruped","spot","isaac-lab","autonomous-systems","path-planning","multi-goal-navigation"],"difficulty":"beginner","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"f32c38cf-1990-40a8-abdd-250a693c2fdb","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/f32c38cf-1990-40a8-abdd-250a693c2fdb.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=10075664400da10ecbc761115e99d40eabe4af60faedc900f6e5a748110eb2ae","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7688120,"contest_duration_blocks":40200,"evaluation_duration_blocks":7200,"submit_window_blocks":7200,"reward_start_blocks":300,"reward_duration_blocks":7200,"max_submission_size":100},"statistics":{"agents_count":62,"participants_count":42,"eligible_count":63,"validator_count":4,"average_score":0.5589868324073057,"top_score":0.8881443027003609,"score_phase":"private"}},{"id":"c41473f4-f4fa-402e-9c72-295046417386","task_name":"leatherback-waypoint-nav-v1","task_version":1,"tournament_version":3,"task_gh":"https://github.com/nepher-ai/task-leatherback-waypointnav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1772588251,"contest_end_time":1772761051,"evaluation_start_time":1772761063,"evaluation_end_time":1772782663,"submit_window_start_time":1772674651,"reward_start_time":1772783863,"reward_end_time":1772827063,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1772757463,"public_eval_buffer_hours":1,"contest_start_block":7667500,"contest_end_block":7681900,"submit_window_start_block":7674700,"evaluation_start_block":7681901,"evaluation_end_block":7683701,"reward_start_block":7683801,"reward_end_block":7687401,"reward_block":7683801,"winner_agent_id":"8aa1dd68-f8fd-4de1-ad87-48d19ed35d4b","winner_hotkey":"5H9QMpTt7iScxETG8tkhHFGzkTwtta7Ln72CLrAkz3mZQeo8","winner_score":0.9444271317829456,"winner_approved":true,"winner_is_public":true,"winner_approved_at":"2026-03-12T19:37:56.188177","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/5baca026-a75e-4dc1-91d1-cf349e36b0e3.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=d29e07e948f4ea790186bd7a8aa0d1aaebf5cc8c060885e137920ffa780a4766"],"gallery":[{"id":"5baca026-a75e-4dc1-91d1-cf349e36b0e3","title":"Leatherback Title","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/5baca026-a75e-4dc1-91d1-cf349e36b0e3.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=d29e07e948f4ea790186bd7a8aa0d1aaebf5cc8c060885e137920ffa780a4766","file_size":8213367,"width":null,"height":null,"display_order":2}],"created_at":"2026-03-03T22:20:59.443447","updated_at":"2026-05-14T02:54:27.141878","title":"Leatherback Waypoint Navigation Challenge - Phase 3","subtitle":"Train autonomous wheeled robot policies for precise multi-waypoint mission completion across dynamic terrestrial environments","overview":"Train Leatherback to autonomously complete sequential waypoint missions with precision, safety, and efficiency across hidden benchmark environments.","tags":["robotics","leatherback","waypoint-navigation","reinforcement-learning","wheeled-robot","isaac-lab","autonomous-systems","path-planning","mission-autonomy"],"difficulty":"beginner","is_featured":true,"cover_image_url":null,"browse_thumbnail_media_id":"e06b1a8a-0fe2-4084-ac25-f0c7e321d8b2","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/e06b1a8a-0fe2-4084-ac25-f0c7e321d8b2.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=3986accaac6f2c4231dac22f60b6ececf09c972466b0d3f938176d4a4d5f1dcc","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7667500,"contest_duration_blocks":14400,"evaluation_duration_blocks":1800,"submit_window_blocks":7200,"reward_start_blocks":100,"reward_duration_blocks":3600,"max_submission_size":100},"statistics":{"agents_count":32,"participants_count":21,"eligible_count":32,"validator_count":4,"average_score":0.9373963374610339,"top_score":0.9471868217054265,"score_phase":"private"}},{"id":"01ff1e68-636f-4612-b42f-af157b033b0c","task_name":"leatherback-waypoint-nav-v1","task_version":1,"tournament_version":2,"task_gh":"https://github.com/nepher-ai/task-leatherback-waypointnav","eval_gh":"https://github.com/nepher-ai/eval-nav","status":"approved","stage":"completed","contest_start_time":1772115680,"contest_end_time":1772547680,"evaluation_start_time":1772547692,"evaluation_end_time":1772548892,"submit_window_start_time":1772374880,"reward_start_time":1772550092,"reward_end_time":1772551292,"has_public_eval":true,"current_eval_phase":null,"public_eval_end_time":1772544092,"public_eval_buffer_hours":1,"contest_start_block":7628120,"contest_end_block":7664120,"submit_window_start_block":7649720,"evaluation_start_block":7664121,"evaluation_end_block":7664221,"reward_start_block":7664321,"reward_end_block":7664421,"reward_block":7664321,"winner_agent_id":null,"winner_hotkey":null,"winner_score":null,"winner_approved":false,"winner_is_public":false,"winner_approved_at":"2026-03-12T19:37:39.798636","winner_approved_by":"230dc1d1-31fa-4883-8344-c45cf33bd9c2","is_test":false,"test_whitelist":null,"auto_start_next_id":null,"auto_start_next_task_name":null,"auto_start_next_task_version":null,"auto_start_next_tournament_version":null,"gallery_thumbnails":null,"gallery_videos":["https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/5baca026-a75e-4dc1-91d1-cf349e36b0e3.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=d29e07e948f4ea790186bd7a8aa0d1aaebf5cc8c060885e137920ffa780a4766"],"gallery":[{"id":"5baca026-a75e-4dc1-91d1-cf349e36b0e3","title":"Leatherback Title","alt_text":null,"media_type":"video","content_type":"video/mp4","url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/5baca026-a75e-4dc1-91d1-cf349e36b0e3.mp4?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=d29e07e948f4ea790186bd7a8aa0d1aaebf5cc8c060885e137920ffa780a4766","file_size":8213367,"width":null,"height":null,"display_order":3}],"created_at":"2026-02-25T13:16:46.652844","updated_at":"2026-05-14T02:54:40.676798","title":"Leatherback Waypoint Navigation Challenge - Phase 2","subtitle":"Train autonomous wheeled robot policies for precise multi-waypoint mission completion across dynamic terrestrial environments","overview":"Train Leatherback to autonomously complete sequential waypoint missions with precision, safety, and efficiency across hidden benchmark environments.","tags":["robotics","leatherback","waypoint-navigation","reinforcement-learning","wheeled-robot","isaac-lab","autonomous-systems","path-planning","mission-autonomy"],"difficulty":"beginner","is_featured":false,"cover_image_url":null,"browse_thumbnail_media_id":"e06b1a8a-0fe2-4084-ac25-f0c7e321d8b2","browse_thumbnail_url":"https://6ae7e8c4cd5d23f4d4c33792e9fac740.r2.cloudflarestorage.com/tournament-gallery/gallery/e06b1a8a-0fe2-4084-ac25-f0c7e321d8b2.png?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=83a1ef9f9112dda54a8b68dd97b02299%2F20260705%2Fauto%2Fs3%2Faws4_request&X-Amz-Date=20260705T191700Z&X-Amz-Expires=86400&X-Amz-SignedHeaders=host&X-Amz-Signature=3986accaac6f2c4231dac22f60b6ececf09c972466b0d3f938176d4a4d5f1dcc","subnet_config":{"network":"finney","subnet_uid":49,"contest_start_block":7628120,"contest_duration_blocks":36000,"evaluation_duration_blocks":100,"submit_window_blocks":14400,"reward_start_blocks":100,"reward_duration_blocks":100,"max_submission_size":100},"statistics":{"agents_count":90,"participants_count":66,"eligible_count":72,"validator_count":4,"average_score":0.8804238115639904,"top_score":0.9481596899224807,"score_phase":"private"}}],"total":11,"limit":10,"offset":0}