Jumping Control for a Quadrupedal Wheeled-Legged Robot via NMPC and DE Optimization
🤖 AI Summary
This work addresses the challenge of dynamic jumping in wheeled-legged robots, which becomes increasingly difficult with added leg degrees of freedom. To overcome this, the authors propose a synergistic control framework that integrates nonlinear model predictive control (NMPC) with differential evolution (DE)—a novel combination for jumping control in such robots. The approach optimizes jump trajectories while leveraging coordinated wheel motion to enhance takeoff performance. Experimental validation on a custom-built small-scale wheeled-legged robot demonstrates successful execution of diverse maneuvers, including vertical jumps reaching 0.5 m, forward jumps clearing a 0.12 m obstacle, and backflips. Both simulations and real-world tests confirm the effectiveness and superiority of the proposed method.
Application Category
📝 Abstract
Quadrupedal wheeled-legged robots combine the advantages of legged and wheeled locomotion to achieve superior mobility, but executing dynamic jumps remains a significant challenge due to the additional degrees of freedom introduced by wheeled legs. This paper develops a mini-sized wheeled-legged robot for agile motion and presents a novel motion control framework that integrates the Nonlinear Model Predictive Control (NMPC) for locomotion and the Differential Evolution (DE) based trajectory optimization for jumping in quadrupedal wheeled-legged robots. The proposed controller utilizes wheel motion and locomotion to enhance jumping performance, achieving versatile maneuvers such as vertical jumping, forward jumping, and backflips. Extensive simulations and real-world experiments validate the effectiveness of the framework, demonstrating a forward jump over a 0.12 m obstacle and a vertical jump reaching 0.5 m.
Problem
Research questions and friction points this paper is trying to address.
quadrupedal wheeled-legged robot
dynamic jumping
jumping control
locomotion
degrees of freedom
Innovation
Methods, ideas, or system contributions that make the work stand out.
NMPC
Differential Evolution
wheeled-legged robot
jumping control
trajectory optimization
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