ROMay 29, 2017

Multirobot Cliff Climbing on Low-Gravity Environments

arXiv:1705.11131v212 citations
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of exploring inaccessible terrains for space missions, though it appears incremental as it builds on existing multirobot and gripping concepts.

The paper tackled the problem of exploring extreme environments like cliffs on low-gravity surfaces by proposing a multirobot system with microspines and spring-tethers, finding that 4 robots are optimal for single-robot climbs and 6 for simultaneous climbs.

Exploration of extreme environments, including caves, canyons and cliffs on low-gravity surfaces such as the Moon, Mars and asteroids can provide insight into the geological history of the solar system, origins of water, life and prospect for future habitation and resource exploitation. Current methods of exploration utilize large rovers that are unsuitable for exploring these extreme environments. In this work, we analyze the feasibility of small, low-cost, reconfigurable multirobot systems to climb steep cliffs and canyon walls. Each robot is a 30-cm sphere covered in microspines for gripping onto rugged surfaces and attaches to several robots using a spring-tether. Even if one robot were to slip and fall, the system would be held up with multiple attachment points much like a professional alpine climber. We analyzed and performed detailed simulations of the design configuration space to identify an optimal system design that trades off climbing performance with risk of falling. Our results identify a system of 4 robots is best suited when enabling single-robot climbs, while a system of 6 robots are suited when two robots climb simultaneously. The results show a pathway towards demonstration of the system on real robots.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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