SOURCE-LINKED INTELLIGENCE
LARC: Lazy Adaptive Reachability Certification of Robot Manipulator Trajectories
Discrete trajectory checks can miss collisions between sampled robot states. Reachability-based certification bounds motion between states, but uniform time partitions waste computation where clearance is large. We present lazy adaptive reachability certification (LARC), which checks a planned trajectory by bisecting only intervals with an inconclusive clearance test. For piecewise-cubic Hermite joint trajectories, the method bounds link occupancy using midpoint capsules inflated by exact componentwise speed maxima. Certified intervals covering the trajectory provide continuous-time external-o
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-30T12:53:20.000Z
First collected: 2026-09-21T07:31:56.984Z. This is not the publication date.