Code supplement to the R:SS 2018 on Physical Manipulation (tested Feb 11, 2021 in Ubuntu 20 docker)
Lecture slides and scripts (LaTeX sources) in AI, Robotics, Machine Learning, Maths, Optimization
Interfaces used for the Robotics Practical Course. Using equivalent C++ or python interfaces, and direct execution on a baxter or in simulation (linking bullet or physx).
Python bindings to rai. Simple interface to work with robot/world configurations, compute features and their Jacobians, inverse kinematics, path optimization.
Python bindings to some optimization benchmarks (robotics problems), in order to constrained optimization solvers. Includes also an interface to the solvers within rai. See the jupyter notebocks in…