← Back to Benchmarks
simmediumlocomotionmetric · varies
Sampling Strategy Design for Model Predictive Path Integral Control on Legged Robot Locomotion
Description
Model Predictive Path Integral (MPPI) control has emerged as a powerful sampling-based optimal control method for complex, nonlinear, and high-dimensional systems. However, directly applying MPPI to legged robotic systems presents several challenges. This paper systematically investigates the role of sampling strategy design within the MPPI framework for legged robot locomotion. Based upon the idea of structured control parameterization, we explore and compare multiple sampling strategies within