Lambda 与 NVIDIA 在 CoRL 2026 联合举办两个工作坊，并发布 I3L 论文
Lambda 和 NVIDIA 在 CoRL 2026 搞两个机器人学习工作坊，还跟李飞飞实验室发了 I3L 论文，成功率提升 68.3 个点，做机器人方向的可以看看。
Lambda 将于 11 月 12 日在奥斯汀举办的 CoRL 2026 上与 NVIDIA 联合举办两个工作坊：real-robot-learning 工作坊在上午 8:30 至 12:30 CST（212 房间），G2A 工作坊在下午 2 至 6 点 CST（208 房间）。Lambda 还与李飞飞在斯坦福的实验室合作展示工作坊论文 I3L，研究全身移动操作的迭代交互式模仿学习。方法在 JoyLo+ 上允许机器人通过触觉把控制权交给人，作者在 3 种机器人本体和 8 个任务上测试，报告平均自主成功率相比基线策略提升 68.3 个百分点，每个任务成功率至少 90%，平均接管时间减少 72%。
Lambda is sponsoring two workshops at CoRL 2026 in Austin and co-organizing them with NVIDIA. We’re also presenting I3L, a workshop paper with Li Fei-Fei’s lab at Stanford.
I3L studies whole-body mobile manipulation through iterative, interactive imitation learning. On JoyLo+, the robot can hand control to a person through touch. The authors tested the approach on three robot embodiments and eight tasks. They report a 68.3 point gain in average autonomous success over the base policies, at least 90% success on every task, and a 72% reduction in average takeover time.
Both workshops are Nov 12. The real-robot-learning workshop runs 8:30 a.m. to 12:30 p.m. CST in room 212. G2A runs 2 to 6 p.m. CST in room 208.
Workshop and paper links are in the reply.
