Probe-before-step walking strategy for multi-legged robots on terrain with risk of collapse

Eranda Tennakoon, T. Peynot, Jonathan M. Roberts, N. Kottege
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引用次数: 13

Abstract

Multi-legged robots are effective at traversing rough terrain. However, terrains that include collapsible footholds (i.e. regions that can collapse when stepped on) remain a significant challenge, especially since such situations can be extremely difficult to anticipate using only exteroceptive sensing. State-of-the-art methods typically use various stabilisation techniques to regain balance and counter changing footholds. However, these methods are likely to fail if safe footholds are sparse and spread out or if the robot does not respond quickly enough after a foothold collapse. This paper presents a novel method for multi-legged robots to probe and test the terrain for collapses using its legs while walking. The proposed method improves on existing terrain probing approaches, and integrates the probing action into a walking cycle. A follow-the-leader strategy with a suitable gait and stance is presented and implemented on a hexapod robot. The proposed method is experimentally validated, demonstrating the robot can safely traverse terrain containing collapsible footholds.
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多足机器人在有塌陷危险的地形上的步前探测行走策略
多腿机器人能有效地穿越崎岖的地形。然而,包含可折叠立足点的地形(即当踩到时可能倒塌的区域)仍然是一个重大挑战,特别是因为这种情况非常难以仅使用外部感知来预测。最先进的方法通常使用各种稳定技术来恢复平衡和应对不断变化的立足点。然而,如果安全的立足点稀疏且分散,或者机器人在立足点坍塌后反应不够快,这些方法很可能会失败。提出了一种多足机器人在行走过程中利用腿探测和检测塌陷地形的新方法。该方法改进了现有的地形探测方法,并将探测动作集成到步行周期中。提出并在六足机器人上实现了一种具有合适步态和姿态的跟随领导策略。实验验证了该方法的有效性,证明了机器人可以安全地穿越包含可折叠立足点的地形。
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