Thruster-Assisted Incline Walking
Kaushik Venkatesh Krishnamurthy, Chenghao Wang, Shreyansh Pitroda, Adarsh Salagame, Eric Sihite, Reza Nemovi, Alireza Ramezani, Morteza Gharib
TL;DR
This work addresses slope navigation for a quadruped using thruster-assisted locomotion by extending WAIR concepts to Husky Carbon. It introduces a reduced-order model (HROM) and a collocation-based optimization to jointly coordinate foot placement and thruster inputs, ensuring ground reaction forces stay inside friction cones. Simulation results on a 30-degree incline demonstrate feasible thruster-wrench control that maintains body stability and contact, with normal forces kept above a minimum and friction constraints respected. The approach expands the operational envelope of multi-modal legged systems and lays groundwork for experimental validation and more robust control under real-world disturbances.
Abstract
In this study, our aim is to evaluate the effectiveness of thruster-assisted steep slope walking for the Husky Carbon, a quadrupedal robot equipped with custom-designed actuators and plural electric ducted fans, through simulation prior to conducting experimental trials. Thruster-assisted steep slope walking draws inspiration from wing-assisted incline running (WAIR) observed in birds, and intriguingly incorporates posture manipulation and thrust vectoring, a locomotion technique not previously explored in the animal kingdom. Our approach involves developing a reduced-order model of the Husky robot, followed by the application of an optimization-based controller utilizing collocation methods and dynamics interpolation to determine control actions. Through simulation testing, we demonstrate the feasibility of hardware implementation of our controller.
