Topology Optimized Design, Fabrication, and Characterization of a Soft Cable-Driven Gripper

被引:105
作者
Chen, Feifei [1 ]
Xu, Wenjun [2 ]
Zhang, Hongying [1 ]
Wang, Yiqiang [3 ]
Cao, Jiawei [1 ]
Wang, Michael Yu [3 ,4 ]
Ren, Hongliang [2 ]
Zhu, Jian [1 ]
Zhang, Y. F. [1 ]
机构
[1] Natl Univ Singapore, Dept Mech Engn, Singapore 117575, Singapore
[2] Natl Univ Singapore, Dept Biomed Engn, Singapore 117583, Singapore
[3] Hong Kong Univ Sci & Technol, Dept Mech & Aerosp Engn, Hong Kong, Peoples R China
[4] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China
来源
IEEE ROBOTICS AND AUTOMATION LETTERS | 2018年 / 3卷 / 03期
关键词
Soft robotics; grasping; topology optimization; ROBOTIC GRIPPER; LEVEL; SHAPE;
D O I
10.1109/LRA.2018.2800115
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Soft-bodied robots, due to their intrinsic compliance, have shown great potential for operating within unstructured environment and interacting with unknown objects. This letter deals with automatic design and fabrication of soft robots. From a structure point of view, we synthesize a soft cable-driven gripper by recasting its mechanical design as a topology optimization problem. Building on previous work on compliant mechanism optimization, we model the interactions between the gripper and objects more practically, in form of pressure loadings and friction tractions, and furthermore, we investigate how the interaction uncertainties affect the optimization solution by varying the contact location and area. The optimized soft fingers were three-dimensionally printed and then assembled to build a gripper. The experiments show that the gripper can handle a large range of unknown objects of different shapes and weights (up to 1 kg), with different grasping modes. This letter represents an important step toward leveraging the full potential of the freeform design space to generate novel soft-bodied robots.
引用
收藏
页码:2463 / 2470
页数:8
相关论文
共 38 条
  • [1] Structural optimization using sensitivity analysis and a level-set method
    Allaire, G
    Jouve, F
    Toader, AM
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2004, 194 (01) : 363 - 393
  • [2] GENERATING OPTIMAL TOPOLOGIES IN STRUCTURAL DESIGN USING A HOMOGENIZATION METHOD
    BENDSOE, MP
    KIKUCHI, N
    [J]. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1988, 71 (02) : 197 - 224
  • [3] Bodily Daniel M., 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA), P1864, DOI 10.1109/ICRA.2017.7989218
  • [4] Cao L, 2016, PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE, 2016, VOL 5A
  • [5] Toward a Unified Design Approach for Both Compliant Mechanisms and Rigid-Body Mechanisms: Module Optimization
    Cao, Lin
    Dolovich, Allan T.
    Schwab, Arend L.
    Herder, Just L.
    Zhang, Wenjun
    [J]. JOURNAL OF MECHANICAL DESIGN, 2015, 137 (12)
  • [6] Topology optimization of hyperelastic structures using a level set method
    Chen, Feifei
    Wang, Yiqiang
    Wang, Michael Yu
    Zhang, Y. F.
    [J]. JOURNAL OF COMPUTATIONAL PHYSICS, 2017, 351 : 437 - 454
  • [7] Chen F, 2017, 2017 2ND IEEE INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA 2017), P434, DOI 10.1109/ICCCBDA.2017.7951953
  • [8] Choi K.K., 2006, Structural sensitivity analysis and optimization 1: linear systems, V1
  • [9] A novel type of compliant and underactuated robotic hand for dexterous grasping
    Deimel, Raphael
    Brock, Oliver
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2016, 35 (1-3) : 161 - 185
  • [10] Biomechanical and Physiological Evaluation of Multi-Joint Assistance With Soft Exosuits
    Ding, Ye
    Galiana, Ignacio
    Asbeck, Alan T.
    Marco, Stefano
    De Rossi, Maria
    Bae, Jaehyun
    Teles Santos, Thiago Ribeiro
    de Araujo, Vanessa Lara
    Lee, Sangjun
    Holt, Kenneth G.
    Walsh, Conor
    [J]. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (02) : 119 - 130