Human-in-the-loop algorithm to compute joint-space trajectories for high-DoF robots under partial observability
Review of optimization algorithms that can escape saddle points in Deep Learning and some experimental results
Solving the inverse kinematics problem for a FANUC S-500 robot and using it to draw a Mickey Mouse
A Fetch robot doing Motion Planning and executing a trajectory when the scene representation may be incomplete
Review of methods to prune neural networks
Optimization-based motion planning algorithm capable of incorporating sensing uncertainty for a variety of noise models