斯坦福 BEHAVIOR 机器人挑战赛第二年回归,去年成功率仅12.4%

1/N Long horizon, complex tasks that truly matter in everyday life are not solved problems by today’...

精选理由

斯坦福的机器人挑战赛又来了,去年最佳方案成功率才12%,说明这事真难。今年任务更多、评测更靠谱,想测测你家机器人的真实水平就参加。

AI 摘要

斯坦福大学启动第二届 BEHAVIOR 机器人挑战赛,聚焦日常生活中的长周期复杂任务。去年获胜方案在真实场景中完整任务成功率仅12.4%。本届新增更多任务类型,改进评估方法并降低使用门槛。提交截止日期为2026年10月16日,奖金池总额11000美元。

图片来源 · Fei-Fei Li
原文 · Fei-Fei Li

1/N Long horizon, complex tasks that truly matter in everyday life are not solved problems by today’...

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 Your browser does not support the video tag. 🔗 View on Twitter 💬 2 🔄 0 ❤️ 3 👀 1780 📊 3 ⚡