Fast Kinodynamic Bipedal Locomotion Planning with Moving Obstacles
Junhyeok Ahn, Orion Campbell, Donghyun Kim, and Luis Sentis

TL;DR
This paper introduces a sampling-based kinodynamic planning framework for bipedal robots that simultaneously plans footstep locations and dynamics, effectively handling moving obstacles and ensuring dynamic consistency.
Contribution
It presents a novel integrated planning approach that combines footstep placement with dynamic and collision constraints, improving efficiency and safety in complex environments.
Findings
Successfully plans collision-free, dynamic walking paths with moving obstacles.
Enables differentiation of routes based on temporal duration and velocity constraints.
Integrates with a Whole Body Controller for full-body dynamic walking.
Abstract
We present a sampling-based kinodynamic planning framework for a bipedal robot in complex environments. Unlike other footstep planner which typically plan footstep locations and the biped dynamics in separate steps, we handle both simultaneously. Three advantages of this approach are (1) the ability to differentiate alternate routes while selecting footstep locations based on the temporal duration of the route as determined by the Linear Inverted Pendulum Model dynamics, (2) the ability to perform collision checking through time so that collisions with moving obstacles are prevented without avoiding their entire trajectory, and (3) the ability to specify a minimum forward velocity for the biped. To generate a dynamically consistent description of the walking behavior, we exploit the Phase Space Planner. To plan a collision free route toward the goal, we adapt planning strategies from…
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Taxonomy
TopicsRobotic Locomotion and Control · Robotic Path Planning Algorithms · Human Motion and Animation
