Rh-0 humanoid full size robot's control strategy based on the Lie logic technique

被引:0
|
作者
Arbulú, M [1 ]
Pardos, JM [1 ]
Cabas, L [1 ]
Staroverov, P [1 ]
Kaynov, D [1 ]
Pérez, C [1 ]
Rodríguez, M [1 ]
Balaguer, C [1 ]
机构
[1] Univ Carlos III Madrid, Robot Lab, Dept Syst Engn & Automat, Madrid 28911, Spain
关键词
humanoid robot; biped locomotion; gait; ZMP; Lie groups;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents the experimental results of the full size Rh-0 humanoid robot developed by the University Carlos III of Madrid. The robot has 21 DOF, 1.350 mm height and 40kg weight including the on-board batteries and hardware. The robot's control architecture is formed by the distributed dual CAN bus system. The bus is used for joints' control and supervision, and also for sensing different global robots features. The key innovation is the kinematics control strategy based on the Lie logic technique. Using the Product of Exponentials (PoE) and the Paden-Kahan sub-problem techniques, the Sagital Kinematics Division (SKD) algorithm for robot's kinematics control had been implemented. The results of this implementation are shown in the final part of the paper.
引用
收藏
页码:271 / 276
页数:6
相关论文
共 32 条
  • [21] A Full-Body Motion Control Method for a Humanoid Robot based on On-Line Estimation of the Operational Force of an Object with an Unknown Weight
    Nozawa, Shunichi
    Ueda, Ryohei
    Kakiuchi, Youhei
    Okada, Kei
    Inaba, Masayuki
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010,
  • [22] Implementation of a Fuzzy Logic Control Strategy on a Harvester's Controller Based on MATLAB Environment
    Li, Wei
    Wen, Jingqian
    Jiang, Qing
    Song, Liangtu
    Zhang, Zhengyong
    INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 33 (13)
  • [23] Development of a Position Control System for Wheeled Humanoid Robot Movement Using the Swerve Drive Method Based on Fuzzy Logic Type-2
    Suprapto, Bhakti Yudho
    Dwijayanti, Suci
    Amri, Djulil
    ELEKTRONIKA IR ELEKTROTECHNIKA, 2024, 30 (01) : 4 - 13
  • [24] Fuzzy Logic Technique to Control a Robot Based on Non-Invasive Brain Computer Interface by Human Group
    Samadi, Hassan
    Karimi, Mahdi
    2014 SECOND RSI/ISM INTERNATIONAL CONFERENCE ON ROBOTICS AND MECHATRONICS (ICROM), 2014, : 695 - 699
  • [25] Mobile robot's road following based on color vision and FGA control strategy
    Ding, Chengjun
    Cui, Genqun
    Zhang, Minglu
    Duan, Ping
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 3124 - +
  • [26] Control System Study of the Heavy Handling Robot Based on S3C44B0X
    Sun, Xiangguo
    Yang, Dazhi
    Liao, Yinghua
    ELECTRICAL POWER & ENERGY SYSTEMS, PTS 1 AND 2, 2012, 516-517 : 1590 - 1593
  • [27] Research on control strategy of full-size converter-based variable speed pumped storage unit in power generation condition
    Zhao, Guopeng
    Zhang, Yongxin
    Li, Zheng
    Ren, Jiyun
    INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (11):
  • [28] Widening the applicability of most-open-valve (MOV) strategy for aeration control at full scale WWTPs by combining fuzzy-logic control and knowledge-based rules
    Ribes, Josep
    Serralta, Joaquin
    Ruano, Maria Victoria
    Robles, Angel
    Ferrer, Jose
    JOURNAL OF WATER PROCESS ENGINEERING, 2023, 53
  • [29] A human-robot interaction control strategy for teleoperation robot system under multi-scenario applications (27 Jun, 10.1007/s41315-024-00351-0, 2024)
    Wang, Zhengyu
    Hai, Mingxin
    Liu, Xuchang
    Pei, Zongkun
    Qian, Sen
    Wang, Daoming
    INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS, 2024, 8 (03) : 806 - 807
  • [30] Jaya-ITDF control strategy based frequency regulation of multi microgrid utilizing energy stored in high voltage direct current-link capacitors (feb, 10.1007/s00500-023-07839-0, 2023)
    Singh, Kavita
    Arya, Yogendra
    SOFT COMPUTING, 2023, 27 (09) : 5971 - 5971