Jumping Control for a Quadrupedal Wheeled-Legged Robot via NMPC and DE Optimization

TL;DR

This paper introduces a control framework combining NMPC and DE optimization to enable a quadrupedal wheeled-legged robot to perform agile jumps and versatile maneuvers, validated through simulations and real-world tests.

Contribution

It presents a novel integrated control approach for jumping in wheeled-legged robots, combining NMPC and DE optimization for the first time.

Findings

Successfully achieved a 0.12 m forward jump over an obstacle.

Performed vertical jumps reaching 0.5 m height.

Validated effectiveness through extensive simulations and real-world experiments.

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.