在可重新配置的模块化机器人中,敏捷的腿部运动
Chen Yu1, David Matthews1, Jingxian Wang1
1Center for Robotics and Biosystems, Northwestern University, Evanston, IL 60208.
概括
研究人员为机器人开发了自主模块化腿,使各种各样的,可适应和可修复的腿类机器成为可能. 这些机器人可以学习复杂的动作,并承受重大损伤,与目前的设计不同.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 生物模拟技术的使用
- 机器学习 机器学习
背景情况:
- 与动物相比,目前的腿类机器人缺乏形态多样性和适应能力.
- 现有的设计通常是固定的,限制了对新任务或损坏恢复的重新配置.
研究的目的:
- 引入一种新的模块化腿部系统,用于创建多样化和弹性的腿类机器人.
- 为了使机器人代理能够快速修复,重新设计和重新组合.
主要方法:
- 发展敏捷的,最小的,单个自由度的关节模块化腿.
- 对复杂的动态行为实施学习能力.
- 将身体配置编码到一个紧的潜在设计空间进行探索.
主要成果:
- 在米尺尺度上演示了多腿机器的形成.
- 展示了在非结构化环境中快速和杂技地移动的机器人.
- 由于模块化,证明了对深层结构损坏的弹性.
结论:
- 自主模块化腿提供了前所未有的适应性和可修复性.
- 这种方法解锁了各种各样的新型腿形和动态行为.
- 使机器人能够在具有挑战性的,非结构化的环境中有效运行.
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