Step Timing Adjustment: A Step toward Generating Robust Gaits

TL;DR

This paper introduces a combined step location and timing adjustment method for humanoid robot gait generation, enhancing robustness by dynamically adapting step parameters based on real-time feedback.

Contribution

It presents a novel two-stage approach that integrates step timing adjustment with location planning, improving gait stability and robustness in humanoid robots.

Findings

Enhanced gait robustness in simulations

Effective step timing adaptation improves stability

Outperforms methods without timing adjustment

Abstract

Step adjustment for humanoid robots has been shown to improve robustness in gaits. However, step duration adaptation is often neglected in control strategies. In this paper, we propose an approach that combines both step location and timing adjustment for generating robust gaits. In this approach, step location and step timing are decided, based on feedback from the current state of the robot. The proposed approach is comprised of two stages. In the first stage, the nominal step location and step duration for the next step or a previewed number of steps are specified. In this stage which is done at the start of each step, the main goal is to specify the best step length and step duration for a desired walking speed. The second stage deals with finding the best landing point and landing time of the swing foot at each control cycle. In this stage, stability of the gaits is preserved by specifying a desired offset between the swing foot landing point and the Divergent Component of Motion (DCM) at the end of current step. After specifying the landing point of the swing foot at a desired time, the swing foot trajectory is regenerated at each control cycle to realize desired landing properties. Simulation on different scenarios shows the robustness of the generated gaits from our proposed approach compared to the case where no timing adjustment is employed.