4 citations · 5 across the 3 of their papers we have counts for
3 papers
Sampling-Based Motion Planning: A Comparative Review
Andreas Orthey, Constantinos Chamzas, Lydia E. Kavraki
Sampling-based motion planning is one of the fundamental paradigms to generate robot motions, and a cornerstone of robotics research. This comparative review provides an up-to-date…
Asymptotically Optimal Belief Space Planning in Discrete Partially-Observable Domains
Janis Eric Freund, Camille Phiquepal, Andreas Orthey +1
Robots often have to operate in discrete partially observable worlds, where the states of world are only observable at runtime. To react to different world states, robots need cont…
Fast-dRRT*: Efficient Multi-Robot Motion Planning for Automated Industrial Manufacturing
Andrey Solano, Arne Sieverling, Robert Gieselmann +1
We present Fast-dRRT*, a sampling-based multi-robot planner, for real-time industrial automation scenarios. Fast-dRRT* builds upon the discrete rapidly-exploring random tree (dRRT*…