Video for OpTaS
This video presents work lead by Christopher E. Mower. OpTaS is an OPtimization-based TAsk Specification Python library for trajectory optimization and model predictive control. The code can be found at https://github.com/cmower/optas. This work will be presented at the 2023 IEEE International Conference on Robotics and Automation (ICRA).
Christopher E. Mower
Alumni
Christopher is a Research Associcate with interests in surgical robotics, human-robot collaboration, imitation learning, and shared autonomy.