Our paper titled "Composing Task-Agnostic Policies with Deep Reinforcement Learning" has been accepted for publication at International Conference on Learning Representations 2020, Addis Ababa, Ethiopia. [arxiv][website...
Our comprehensive review paper on robotic artificial muscles, spanning multiple experts internationally, is now available to read on IEEE Transactions on Robotics. [pdf]
Ahmed Qureshi and Michael Yip will be organizing a workshop "Learning Representations for Planning and Control" at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019. Macau, China.
Our following two papers on robot motion planning and Medical robotics have been accepted for publication at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2019. Macau, China.
We are excited to announce dVRL, our open-sourced Gym-like environment for training (deep) reinforcement learning for autonomous robotic surgery -- bridging the gap between Reinforcement Learning and Surgical Robotics.
Finished filming with HBO's VICE on an episode on Autonomy. We were spotlighted for our work in machine learning for automating robots in surgery. Look out for the episode in May 2019!
Our following three papers on robot motion planning and surgical robotics have been accepted for publication at IEEE International Conference on Robotics and Automation (ICRA) 2019. Montreal, Canada.
