CoRL 2026 BEHAVIOR Challenge 成绩公布：满任务成功率一年从 12% 升至 48%
李飞飞团队的家庭机器人挑战赛出成绩了，100 个任务的成功率一年涨了 4 倍到 48%，而且前三名全是华为、云天励飞和小米的机器人团队，想看具身智能现在真实水平的可以关注下。
Stanford Vision and Learning Lab 在 CoRL 2026 公布第 2 届 BEHAVIOR Challenge 结果。基准规模一年内翻倍，任务数从 50 增至 100，场景数从 3 增至 7。参赛规模同步扩大，参赛者从 96 人增至 265 人，提交方案从 18 份增至 57 份。
成绩提升显著：满任务成功率从 12% 提高到 48%，达到 4 倍。前三名由中国团队包揽：冠军 The North Star（Huawei Noah EAI Team）、亚军 IF1001（Intellifusion）、季军 Cyber（Xiaomi Robotics）。
BEHAVIOR Challenge 聚焦家庭场景的机器人长程任务学习，是机器人学习领域的标杆赛事。中国头部厂商机器人团队包揽前三，反映其在具身智能方向的投入力度。
Incredible progress of robotic learning! Check out the BEHAVIOR Challenge at #CoRL2026 👇 Stanford Vision and Learning Lab @StanfordSVL The results for the 2nd BEHAVIOR Challenge at CoRL 2026 are out! 🚀 In just one year, here's how far we've come together: 🏠 2× benchmark scale: 50 → 100 tasks, 3 → 7 scenes 👥 3× participation: 96 → 265 participants, 18 → 57 submissions 📈 4× full-task success: 12% → 48% Congratulations to our winners! 🥇 The North Star, Huawei Noah EAI Team 🥈 IF1001, Intellifusion 🥉 Cyber, Xiaomi Robotics Thank you to every team, from academia, industry, and independent labs worldwide, for making this year's challenge exceptional! 🙌 📝 Challenge desc x.com/drfeifei/statu… B13hRzrHy (1/N) 🔗 View Quoted Tweet📊 7 ⚡
This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include BEHAVIOR Challenge, CoRL, Huawei, Xiaomi Robotics.
Source attribution: curated from Fei-Fei Li (@drfeifei).
