2021
DOI: 10.48550/arxiv.2106.01974
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Traversing Steep and Granular Martian Analog Slopes With a Dynamic Quadrupedal Robot

Abstract: Celestial bodies such as the Moon and Mars are mainly covered by loose, granular soil, a notoriously challenging terrain to traverse with (wheeled) robotic systems. Here, we present experimental work on traversing steep, granular slopes with the dynamically walking quadrupedal robot SpaceBok. To adapt to the challenging environment, we developed passive-adaptive planar feet and optimized grouser pads to reduce sinkage and increase traction on planar and inclined granular soil. Single-foot experiments revealed … Show more

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Cited by 3 publications
(3 citation statements)
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References 33 publications
(38 reference statements)
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“…Hendrik [46] explored a 22 kg quadruped robot exploits lunar gravity conditions to perform energy-efficient jumps. The robot achieves repetitive, vertical jumps of more than 0.9 m and powerful single leaps of up to 1.3 m. Kolvenbach [47] presented experimental work on traversing steep, granular slopes with the dynamically walking quadrupedal robot.…”
Section: Legged Type Ugv Platformmentioning
confidence: 99%
“…Hendrik [46] explored a 22 kg quadruped robot exploits lunar gravity conditions to perform energy-efficient jumps. The robot achieves repetitive, vertical jumps of more than 0.9 m and powerful single leaps of up to 1.3 m. Kolvenbach [47] presented experimental work on traversing steep, granular slopes with the dynamically walking quadrupedal robot.…”
Section: Legged Type Ugv Platformmentioning
confidence: 99%
“…Because a large portion of the terrestrial surface is covered by nonrigid substrates, such as sand, soil, and vegetation, locomotion on soft terrains is a necessary skill for many applications of legged robots. At the same time, traversing such terrain is more suited to legged locomotion as opposed to wheeled mobility, which often encounters sinkage and slippages (1). Because soft earthy substrates might yield even under a small load, legged robots should be able to adapt to different terrain characteristics as they feel the terrain, as animals do (2)(3)(4).…”
Section: Introductionmentioning
confidence: 99%
“…However, its reliance on NVIDIA's GPU-accelerated physics simulation may pose challenges for researchers lacking access to compatible hardware with sufficient GPU compute power. This limitation can hinder the training and testing of RL-based locomotion strategies within Isaac Sim, especially for resource-constrained environments.1.2 Sim-to-Real Transfer for RL-based StrategiesSim-to-Real transfer in the context of RL-based locomotion strategies represents a critical frontier in robotics research, aiming to bridge the gap between simulated environments and real-world deployment[31] [18]. The ability to develop locomotion controllers in simulation and transfer them seamlessly to physical robots is of paramount importance for practical applications in challenging terrains and dynamic environments.…”
mentioning
confidence: 99%