Steering Elongate Multi-legged Robots By Modulating Body Undulation Waves

TL;DR

This paper introduces a novel control scheme for steering elongate multi-legged robots by modulating body undulation waves, inspired by geometric mechanics and tested on both robophysical models and real robots, enabling effective planar navigation.

Contribution

It develops a low-order, wave-based control framework for steering elongate, multi-legged robots, addressing a gap in maneuverability and trajectory control in complex terrains.

Findings

Successful implementation of wave superposition for turning

Validated steering control on robophysical and real robots

Achieved closed-loop planar motion in diverse terrains

Abstract

Centipedes exhibit great maneuverability in diverse environments due to their many legs and body-driven control. By leveraging similar morphologies and control strategies, their robotic counterparts also demonstrate effective terrestrial locomotion. However, the success of these multi-legged robots is largely limited to forward locomotion; steering is substantially less studied, in part because of the difficulty in coordinating a high degree-of-freedom robot to follow predictable, planar trajectories. To resolve these challenges, we take inspiration from control schemes based on geometric mechanics(GM) in elongate system's locomotion through highly damped environments. We model the elongate, multi-legged system as a ``terrestrial swimmer" in highly frictional environments and implement steering schemes derived from low-order templates of elongate, limbless systems. We identify an effective turning strategy by superimposing two traveling waves of lateral body undulation and further explore variations of the ``turning wave" to enable a spectrum of arc-following steering primitives. We test our hypothesized modulation scheme on a robophysical model and validate steering trajectories against theoretically predicted displacements. We then apply our control framework to Ground Control Robotics' elongate multi-legged robot, Major Tom, using these motion primitives to construct planar motion and in closed-loop control on different terrains. Our work creates a systematic framework for controlling these highly mobile devices in the plane using a low-order model based on sequences of body shape changes.