20 citations · 48 across the 21 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.RO2018
Chance Constrained Motion Planning for High-Dimensional Robots
Siyu Dai, Shawn Schaffert, Ashkan Jasour +2
This paper introduces Probabilistic Chekov (p-Chekov), a chance-constrained motion planning system that can be applied to high degree-of-freedom (DOF) robots under motion uncertain…
cs.RO2018
Improving Trajectory Optimization using a Roadmap Framework
Siyu Dai, Matthew Orton, Shawn Schaffert +2
We present an evaluation of several representative sampling-based and optimization-based motion planners, and then introduce an integrated motion planning system which incorporates…
cs.AI2018
Vulcan: A Monte Carlo Algorithm for Large Chance Constrained MDPs with Risk Bounding Functions
Benjamin J Ayton, Brian C Williams
Chance Constrained Markov Decision Processes maximize reward subject to a bounded probability of failure, and have been frequently applied for planning with potentially dangerous o…