AQuRo: A Cat-like Adaptive Quadruped Robot With Novel Bio-Inspired Capabilities

被引:16
|
作者
Saputra, Azhar Aulia [1 ]
Takesue, Naoyuki [1 ]
Wada, Kazuyoshi [1 ]
Ijspeert, Auke Jan [2 ]
Kubota, Naoyuki [1 ]
机构
[1] Tokyo Metropolitan Univ, Grad Sch Syst Design, Hino, Tokyo, Japan
[2] Sch Engn, Inst Bioengn, Biorobot Lab, Lausanne, Switzerland
来源
FRONTIERS IN ROBOTICS AND AI | 2021年 / 8卷
基金
日本学术振兴会;
关键词
quadruped robot; bio-inspired model; neural-based locomotion; internal-external sensory information; novel capabilities; CENTRAL PATTERN GENERATOR; WALKING; LOCOMOTION; DESIGN; CONTROLLER; FEEDBACK; CPG;
D O I
10.3389/frobt.2021.562524
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
There are currently many quadruped robots suited to a wide range of applications, but traversing some terrains, such as vertical ladders, remains an open challenge. There is still a need to develop adaptive robots that can walk and climb efficiently. This paper presents an adaptive quadruped robot that, by mimicking feline structure, supports several novel capabilities. We design a novel paw structure and several point-cloud-based sensory structures incorporating a quad-composite time-of-flight sensor and a dual-laser range finder. The proposed robot is equipped with physical and cognitive capabilities which include: 1) a dynamic-density topological map building with attention model, 2) affordance perception using the topological map, and 3) a neural-based locomotion model. The novel capabilities show strong integration between locomotion and internal-external sensory information, enabling short-term adaptations in response to environmental changes. The robot performed well in several situations: walking on natural terrain, walking with a leg malfunction, avoiding a sudden obstacle, climbing a vertical ladder. Further, we consider current problems and future development.
引用
收藏
页数:17
相关论文
共 50 条
  • [31] DESIGN AND CONTROL OF A BIO-INSPIRED CLIMBING ROBOT
    Chattopadhyay, Priyabrata
    Ghoshal, Sanjoy K.
    MECHATRONIC SYSTEMS AND CONTROL, 2019, 47 (03): : 144 - 152
  • [32] A bio-inspired helically driven self-burrowing robot
    Bagheri, Hosain
    Stockwell, Daniel
    Bethke, Benjamin
    Okwae, Nana Kwame
    Aukes, Daniel
    Tao, Junliang
    Marvi, Hamid
    ACTA GEOTECHNICA, 2024, 19 (03) : 1435 - 1448
  • [33] Autonomous Navigation of a Tracked Mobile Robot With Novel Passive Bio-Inspired Suspension
    Li, Zhengchao
    Jing, Xingjian
    Sun, Bo
    Yu, Jinyong
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 25 (06) : 2633 - 2644
  • [34] A Novel Biologically Inspired Neural Network and Its Application on the Locomotion Control of Quadruped Robot
    Sun, Lei
    Cao, Yan
    Zhu, Dequan
    PROCEEDINGS OF THE 2015 INTERNATIONAL INDUSTRIAL INFORMATICS AND COMPUTER ENGINEERING CONFERENCE, 2015, : 841 - 844
  • [35] Versatile Like a Seahorse Tail: A Bio-Inspired Programmable Continuum Robot For Conformal Grasping
    Zhang, Jie
    Hu, Yunge
    Li, You
    Ma, Ke
    Wei, Yujun
    Yang, Jinzhao
    Wu, Zhigang
    Rajabi, Hamed
    Peng, Haijun
    Wu, Jianing
    ADVANCED INTELLIGENT SYSTEMS, 2022, 4 (11)
  • [36] Control and study of bio-inspired quadrupedal gaits on an underactuated miniature robot
    Askari, Mohammad
    Ugur, Mustafa
    Mahkam, Nima
    Yeldan, Alper
    Ozcan, Onur
    BIOINSPIRATION & BIOMIMETICS, 2023, 18 (02)
  • [37] A Wheeled Wall-Climbing Robot with Bio-Inspired Spine Mechanisms
    Liu, Yanwei
    Sun, Shaoming
    Wu, Xuan
    Mei, Tao
    JOURNAL OF BIONIC ENGINEERING, 2015, 12 (01) : 17 - 28
  • [38] Torque-Based Control of a Bio-Inspired Modular Climbing Robot
    Prados, Carlos
    Hernando, Miguel
    Gambao, Ernesto
    Brunete, Alberto
    MACHINES, 2023, 11 (07)
  • [39] Towards autonomous area inspection with a bio-inspired underwater legged robot
    Picardi, Giacomo
    Lovecchio, Rossana
    Calisti, Marcello
    2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 930 - 935
  • [40] Analysis of neural oscillator for bio-inspired robot control
    Zhang, D. G.
    Zhu, K. Y.
    Lan, L.
    2006 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2006, : 39 - +