Fei-Fei Li· @drfeifei · X·· 2026-07-14AI 评分43
AI 导读
斯坦福大学BEHAVIOR挑战赛第二年回归，聚焦日常生活中的长时、复杂机器人任务，涵盖规划、物体检测与操作、故障恢复。去年获胜方案仅达12.4%完整任务成功率。今年挑战赛增加更多任务、改进评估、更易使用。提交截止日期为2026年10月16日，获奖者于2026年11月4日公布，奖金池11,000美元。
正文 · 原文
1/N Long horizon, complex tasks that truly matter in everyday life are not solved problems by today’s robotics, requiring planning, object detection, object manipulation, and failure recovery.
That's why Stanford's BEHAVIOR Challenge is back for year 2! Last year, the winning solution reached only 12.4% full task success. This year, the BEHAVIOR challenge has more tasks, better evaluation, and is easier to use. 🚨
⏰ Submission deadline: 10/16/2026
📣 Winners announced: 11/04/2026
🏆 Prize pool: $11,000
来源：Fei-Fei Li · x.com