Design of a Jumping Control Framework with Heuristic Landing for Bipedal Robots
Jingwen Zhang, Junjie Shen, Yeting Liu, and Dennis W. Hong

TL;DR
This paper presents a novel control framework for bipedal robots that enhances jumping capabilities by using a heuristic landing planner during flight to reduce impact and improve robustness, validated through simulations and hardware tests.
Contribution
It introduces the first flight-phase-based heuristic landing approach integrated with a comprehensive motion planner and control hierarchy for bipedal jumping.
Findings
Successful implementation on a miniature bipedal robot
Achieved diverse jumping maneuvers including somersaults
Demonstrated robustness and efficiency in hardware experiments
Abstract
Generating dynamic jumping motions on legged robots remains a challenging control problem as the full flight phase and large landing impact are expected. Compared to quadrupedal robots or other multi-legged robots, bipedal robots place higher requirements for the control strategy given a much smaller footprint. To solve this problem, a novel heuristic landing planner is proposed in this paper. With the momentum feedback during the flight phase, landing locations can be updated to minimize the influence of uncertainties from tracking errors or external disturbances when landing. To the best of our knowledge, this is the first approach to take advantage of the flight phase to reduce the impact of the jump landing which is implemented in the actual robot. By integrating it with a modified kino-dynamics motion planner with centroidal momentum and a low-level controller which explores the…
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Taxonomy
TopicsRobotic Locomotion and Control · Soil Mechanics and Vehicle Dynamics · Prosthetics and Rehabilitation Robotics
