Learning manipulation of steep granular slopes for fast Mini Rover turning
Deniz Kerimoglu, Daniel Soto, Malone Lincoln Hemsley, Joseph Brunner,, Sehoon Ha, Tingnan Zhang, Daniel I. Goldman

TL;DR
This paper presents a novel approach for autonomous planetary rovers to maneuver on steep, flowable granular slopes by using high-dimensional gait manipulation optimized through Bayesian methods, enabling rapid 90-degree turns.
Contribution
It introduces a high-dimensional gait control strategy for rovers on granular slopes, optimized with Bayesian methods, to achieve fast and efficient turning maneuvers.
Findings
Rover can turn 90 degrees in just over 4 seconds.
Bayesian Optimization effectively identifies successful turning gaits.
Manipulating granular surfaces with anisotropic torques enhances maneuverability.
Abstract
Future planetary exploration missions will require reaching challenging regions such as craters and steep slopes. Such regions are ubiquitous and present science-rich targets potentially containing information regarding the planet's internal structure. Steep slopes consisting of low-cohesion regolith are prone to flow downward under small disturbances, making it very challenging for autonomous rovers to traverse. Moreover, the navigation trajectories of rovers are heavily limited by the terrain topology and future systems will need to maneuver on flowable surfaces without getting trapped, allowing them to further expand their reach and increase mission efficiency. In this work, we used a laboratory-scale rover robot and performed maneuvering experiments on a steep granular slope of poppy seeds to explore the rover's turning capabilities. The rover is capable of lifting, sweeping, and…
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Taxonomy
TopicsRobotic Locomotion and Control · Sports Dynamics and Biomechanics · Human Motion and Animation
