MIT 搞了个 NeuralActuator,让廉价机械臂也能精确感知力度,不用额外传感器,还拿了 RSS2026 最佳论文。
MIT CDFG Lab 与 Amazon Robotics 合作开发的 NeuralActuator 模型,通过建模执行器复杂行为,提升了低成本机械臂的实时控制精度。该模型支持无传感器的力感知和力反馈控制,在 RSS2026 上获 Outstanding Systems Paper Award。实验表明它能有效缩小仿真环境与真实世界的差距。
"NeuralActuator," developed by researchers at MIT'…
"NeuralActuator," developed by researchers at MIT's CDFG Lab (https://t.co/HogWaXWuIN) w/collaborators from Amazon Robotics, helps low-cost robot arms better model complex actuator behavior in the real world.
The AI model enables sensor-less force perception & force-aware real-robot control, helping close the gap between simulation & reality. It won the Outstanding Systems Paper Award at #RSS2026: https://t.co/9dWKiydy0u