102 citations · 308 across the 8 of their papers we have counts for
Showing 2020Show all
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cs.RO2020★ 91 cited
Asymptotically Optimal Sampling-Based Motion Planning Methods
Jonathan D. Gammell, Marlin P. Strub
Motion planning is a fundamental problem in autonomous robotics that requires finding a path to a specified goal that avoids obstacles and takes into account a robot's limitations…
cs.RO2020★ 102 cited
Adaptively Informed Trees (AIT*): Fast Asymptotically Optimal Path Planning through Adaptive Heuristics
Marlin P. Strub, Jonathan D. Gammell
Informed sampling-based planning algorithms exploit problem knowledge for better search performance. This knowledge is often expressed as heuristic estimates of solution cost and u…
cs.RO2020★ 6 cited
Advanced BIT* (ABIT*): Sampling-Based Planning with Advanced Graph-Search Techniques
Marlin P. Strub, Jonathan D. Gammell
Path planning is an active area of research essential for many applications in robotics. Popular techniques include graph-based searches and sampling-based planners. These approach…