Bipedal Robot Gait Generation Using Bessel Interpolation

Author:

Wang Zhen1,Li Qingfeng2,Kou Lei3ORCID,Zheng Danni2,Ke Wende1ORCID,Lu Dongxin2

Affiliation:

1. Department of Mechanical and Energy Engineering, Southern University of Science and Technology, Shenzhen 518055, China

2. Health Management System Engineering Center, School of Public Health, Hangzhou Normal University, Hangzhou 311121, China

3. Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266075, China

Abstract

This paper introduces a novel approach to bipedal robot gait generation by proposing a higher-order form through the parameter equation of first-order Bessel interpolation. The trajectory planning for the bipedal robot, specifically for stepping up or down stairs, is established based on a three-dimensional interpolation equation. The experimental prototype, Roban, is utilized for the study, and the structural sketch of a single leg is presented. The inverse kinematics expression for the leg is derived using kinematic methods. Employing a position control method, the angle information is transmitted to the robot’s joints, enabling the completion of both downstairs simulation experiments and physical experiments with the Roban prototype. The analysis of the experimental process reveals a noticeable phenomenon of hip and ankle joint tilting in the robot. This observation suggests that low-cost bipedal robots driven by servo motors exhibit low stiffness characteristics in their joints.

Publisher

MDPI AG

Reference31 articles.

1. Kajita, S., and Tani, K. (1991, January 9–11). Study of dynamic bipedal locomotion on rugged terrain-derivation and application of the linear inverted pendulum mode. Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Sacramento, CA, USA.

2. Kajita, S., Kanehiro, F., Kaneko, K., Fujiwara, K., Harada, K., Yokoi, K., and Hirukawa, H. (2003, January 14–19). Bipedal walking pattern generation by using preview control of zero-moment point. Proceedings of the 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), Taipei, Taiwan.

3. Englsberger, J., Ott, C., and Albu-schäffer, A. (2013, January 3–7). Three-dimensional bipedal walking control using divergent component of motion. Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan.

4. Kajita, S., Benallegue, M., Cisneros, R., Sakaguchi, T., Nakaoka, S.I., Morisawa, M., Kaneko, K., and Kanehiro, F. (2017, January 15–17). Bipedal walking pattern generation based on spatially quantized dynamics. Proceedings of the 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids), Birmingham, UK.

5. Kajita, S., Benallegue, M., Cisneros, R., Sakaguchi, T., Morisawa, M., Kaminaga, H., Kumagai, I., Kaneko, K., and Kanehiro, F. (2019, January 15–17). Position-based lateral balance control for knee-stretched bipedal robot. Proceedings of the 2019 IEEE-RAS 19th International Conference on Humanoid Robots (Humanoids), Toronto, ON, Canada.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3