LiDAR-based Humanoid Navigation in Dynamic, Non-Convex Envir
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: LiDAR-based Humanoid Navigation in Dynamic, Non-Convex Environments via Spatio-Temporal Safe Corridors. This research presents a real-time navigation framework for humanoid robots in dynamic, non-convex environments. The method constructs spatio-temporal safe corridors from LiDAR-based particle representations and integrat…
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Environment: simulation
“for humanoid navigation that directly constructs spatio-temporal safe corridors from LiDAR-based particle representations and couples them with Linear Inverted Pendulum (LIP)-based planning and Whole Body Control (WBC) to enable navigation around and within moving non-convex structures without restrictive geometric assumptions. Simulations on the Digit humanoid yield a 96% success rate in navigating around and inside”
Exact source · revision 1Source owner not reported
Reported quantity · Reported success rate: 96 percent · Basis not reported
“for humanoid navigation that directly constructs spatio-temporal safe corridors from LiDAR-based particle representations and couples them with Linear Inverted Pendulum (LIP)-based planning and Whole Body Control (WBC) to enable navigation around and within moving non-convex structures without restrictive geometric assumptions. Simulations on the Digit humanoid yield a 96% success rate in navigating around and inside”
Exact source · revision 1Source owner not reported
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- arXiv Robotics — research abstractsLiDAR-based Humanoid Navigation in Dynamic, Non-Convex Environments via Spatio-Temporal Safe Corridors
This research presents a real-time navigation framework for humanoid robots in dynamic, non-convex environments. The method constructs spatio-temporal safe corridors from LiDAR-based particle representations and integrates them with Linear Inverted Pendulum planning and Whole Body Control. Simulations on the Digit humanoid achieve a 96% success rate in navigating around and inside moving non-convex obstacles, with robustness to clutter, sensor noise, and control delays.
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