Planning, control and learning for intelligent robotic manipulation

该项目将开发用于对象操作任务的智能机器人算法和系统。具体主题包括：使用基于物理的对象运动预测的操作规划、用于操作规划和控制的机器学习、基于触觉感知的操作(例如人造皮肤)、多机器人协作操作、人机协作操作、以及用于灵活制造和装配的操作规划。

This project will develop intelligent robotic algorithms and systems for object manipulation tasks. Example tasks include a robot reaching into a cluttered shelf to grasp objects and a robot using tools to cut and drill objects) Particular topics include: Manipulation planning using physics-based predictions of object motion, Machine learning for manipulation planning and control, Manipulation based on tactile sensing (e.g. artificial skin), Multi-robot collaborative manipulation, Human-robot collaborative manipulation, and Manipulation planning for flexible manufacturing and assembly.