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A semi-autonomous compound motion pattern using multi-flipper and multi-arm for unstructured terrain traversal

机译:一种使用多档和多臂的半自动复合运动模式,用于非结构化地形遍历

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Disaster response crawler robot OCTOPUS has four arms and four flippers for better adaptability to disaster environments. To further improve the robot mobility and terrain adaptability in unstructured terrain, we propose a new locomotion control method called compound motion pattern (CMP) for multi-limb robots like OCTOPUS. This hybrid locomotion by cooperating the arms and flippers would be effective to adapt to the unstructured terrain due to combining the advantages of crawling and walking. As a preliminary study on CMP, we proposed a fundamental and conceptual CMP while clarifying problems in constructing CMP, and developed a semi-autonomous control system for realizing the CMP. Electrically-driven OCTOPUS was used to verify the reliability and correctness of CMP. Results of experiments on climbing a step indicate that the proposed control system could obtain relatively accurate terrain information and the CMP enabled the robot to climb the step. We thus confirmed that the proposed CMP would be effective to increase terrain adaptability of robot in unstructured environment, and it would be a useful locomotion method for advanced disaster response robots.
机译:灾难反应履带机器人八达通有四个臂和四个脚蹼,以便更好地适应灾害环境。为了进一步改善非结构化地形中的机器人移动性和地形适应性,我们提出了一种新的机置控制方法,称为复合运动模式(CMP),用于章鱼的多肢机器人。由于结合爬行和行走的优势,通过合作臂和脚蹼来适应非结构​​化的地形,这种混合运动将有效。作为对CMP的初步研究,我们提出了一个基本和概念的CMP,同时澄清构建CMP的问题,并开发了一种实现CMP的半自动控制系统。电动章鱼用于验证CMP的可靠性和正确性。爬升的实验结果表明,所提出的控制系统可以获得相对准确的地形信息,并且CMP使机器人能够爬上一步。因此,我们证实,拟议的CMP将有效地增加机器人在非结构化环境中的地形适应性,并且是一种用于高级灾害响应机器人的有用运动方法。

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