基于稳定裕度最大化和防摔功能的无摆动腿被动轮两足机器人运动方法

IF 1.5 Q3 INSTRUMENTS & INSTRUMENTATION
Kohei Kimura, Noriaki Imaoka, Shintaro Noda, Yohei Kakiuchi, K. Okada, M. Inaba
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引用次数: 1

摘要

本文提出了一种利用附在两足机器人脚上的被动轮实现腿轮机器人运动的方法。这种方法的主要特点是两足动物在没有摆动腿的情况下活动自如。这种灵活性有助于在运动过程中基于支撑多边形扩展的稳定性,对障碍物和停车防止摔倒的鲁棒性,以及防止身体侧向摆动的适应性。为了实现这些目标,我们提出了稳定裕度最大化来优化支撑多边形的重心投影,并提出了真实环境下的防坠落功能,这是一种难以通过单独规划来防止意外坠落的情况。最后,我们通过运动将所提出的方法应用于腿轮相位,并通过实际两足机器人的实验验证了其贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Locomotion approach of bipedal robot utilizing passive wheel without swing leg based on stability margin maximization and fall prevention functions
This paper proposes a locomotion approach of leg-wheel robot utilizing passive wheel attached to the foot of bipedal robot. The key feature of this approach is bipedal mobility without swing leg. This mobility contributes the stability based on expansion of support polygon during locomotion, the robustness for obstacles and stopping to prevent fall, and the adaptability by prevention of body swing sideways. To achieve these, we propose the stability margin maximization to optimize center of gravity projection for support polygon and the fall prevention functions for real environment that is a difficult situation to prevent unexpected fall by the only planning. Finally, we apply the proposed methods to leg-wheel phases through locomotion and verify the contribution by experiments using real bipedal robot.
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来源期刊
ROBOMECH Journal
ROBOMECH Journal Mathematics-Control and Optimization
CiteScore
3.20
自引率
7.10%
发文量
21
审稿时长
13 weeks
期刊介绍: ROBOMECH Journal focuses on advanced technologies and practical applications in the field of Robotics and Mechatronics. This field is driven by the steadily growing research, development and consumer demand for robots and systems. Advanced robots have been working in medical and hazardous environments, such as space and the deep sea as well as in the manufacturing environment. The scope of the journal includes but is not limited to: 1. Modeling and design 2. System integration 3. Actuators and sensors 4. Intelligent control 5. Artificial intelligence 6. Machine learning 7. Robotics 8. Manufacturing 9. Motion control 10. Vibration and noise control 11. Micro/nano devices and optoelectronics systems 12. Automotive systems 13. Applications for extreme and/or hazardous environments 14. Other applications
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