20 citations · 37 across the 10 of their papers we have counts for
4 papers · 1 filter
Fast-reactive probabilistic motion planning for high-dimensional robots
Siyu Dai, Andreas Hofmann, Brian C. Williams
Many real-world robotic operations that involve high-dimensional humanoid robots require fast-reaction to plan disturbances and probabilistic guarantees over collision risks, where…
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards
Siyu Dai, Wei Xu, Andreas Hofmann +1
In order to provide adaptive and user-friendly solutions to robotic manipulation, it is important that the agent can learn to accomplish tasks even if they are only provided with v…
Provably Safe Trajectory Optimization in the Presence of Uncertain Convex Obstacles
Charles Dawson, Ashkan Jasour, Andreas Hofmann +1
Real-world environments are inherently uncertain, and to operate safely in these environments robots must be able to plan around this uncertainty. In the context of motion planning…
Fast Certification of Collision Probability Bounds with Uncertain Convex Obstacles
Charles Dawson, Andreas Hofmann, Brian Williams
To operate reactively in uncertain environments, robots need to be able to quickly estimate the risk that they will collide with their environment. This ability is important for bo…