A Novel Variable Stiffness Actuator: Minimizing the Energy Requirements for the Stiffness Regulation

被引:9
|
作者
Tsagarikis, Nikos G. [1 ]
Jafari, Amir [1 ]
Caldwell, Darwin G. [1 ]
机构
[1] Italian Inst Technol, Dept Adv Robot, I-16163 Genoa 30, GE, Italy
来源
2010 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) | 2010年
关键词
DESIGN; SAFE;
D O I
10.1109/IEMBS.2010.5626413
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
The design of robots required to work in the close vicinity or physically interact with humans such as humanoids machines, rehabilitation or human performance augmentation systems should not follow the traditional design rule 'stiffer is better'. Safety is a particularly vital concern in these systems and to maximize it a different design approach should be used. The role of compliance in improving specific suspects of the robotic system, including safety and energy efficiency, has been studied and validated in many works. This work presents the design and realization of a new variable compliance actuator for robots physically interacting with humans, e. g. prosthesis devices and exoskeleton augmentation systems. The actuator can independently control the equilibrium position and stiffness using two motors. The main novelty of the proposed variable stiffness actuator is that the stiffness regulation is achieved not through the pretension of the elastic elements which needs the stiffness tuning actuator to act against the forces generated by the springs but by mechanically adjusting the fixation of the spring elements. As a result the stiffness actuator does not need to act against the spring forces reducing the energy required for the stiffness adjustment to minimal.
引用
收藏
页码:1275 / 1278
页数:4
相关论文
共 50 条
  • [1] A Novel Series Elastic Actuator with Variable Stiffness
    Wang, Chao
    Li, Zhenhong
    Sheng, Bo
    Sivan, Manoj
    Zhang, Zhi-Qiang
    Li, Gu-Qiang
    Xie, Sheng Quan
    2023 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS, AIM, 2023, : 760 - 764
  • [2] A NOVEL PNEUMATIC SOFT ACTUATOR WITH MECHANICAL VARIABLE STIFFNESS
    Cai, Shibo
    Li, Zetong
    Fang, Xing
    Yang, Qinghua
    Bao, Guanjun
    INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2022, 37 (06) : 468 - 475
  • [3] A novel variable stiffness scotch yoke series elastic actuator for enhanced functional stiffness
    Lee, Seung Ho
    Lee, Hyuk Jin
    Lee, Kyeong Ha
    Nam, Kyung Tae
    Koo, Ja Choon
    MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, 2020, 26 (11): : 3395 - 3402
  • [4] Novel Variable Stiffness Spring Mechanism: Modulating Stiffness Independent of the Energy Stored by the Spring
    Kim, Sung Y.
    Braun, David J.
    2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 8232 - 8237
  • [5] A Novel Intrinsically Energy Efficient Actuator With Adjustable Stiffness (AwAS)
    Jafari, Amir
    Tsagarakis, Nikos G.
    Caldwell, Darwin G.
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2013, 18 (01) : 355 - 365
  • [6] A Novel Actuator with Adjustable Stiffness (AwAS)
    Jafari, Amir
    Tsagarakis, Nikos G.
    Vanderborght, Bram
    Caldwell, Darwin G.
    IEEE/RSJ 2010 INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2010), 2010, : 4201 - 4206
  • [7] MODELING AND CONTROL OF A NOVEL VARIABLE-STIFFNESS REGENERATIVE ACTUATOR
    dos Santos, Erivelton Gualter
    Richter, Hanz
    PROCEEDINGS OF THE ASME 11TH ANNUAL DYNAMIC SYSTEMS AND CONTROL CONFERENCE, 2018, VOL 2, 2018,
  • [8] Variable Stiffness Actuator Structure for Robot
    Cui, Chuanyi
    Guo, Kai
    Sun, Jie
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2021, PT I, 2021, 13013 : 275 - 283
  • [9] Modeling and Experimental Evaluation of a Pneumatic Variable Stiffness Actuator
    Sun, Yuanxi
    Tang, Pei
    Dong, Dianbiao
    Zheng, Jia
    Chen, Xiaohong
    Bai, Long
    IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2022, 27 (05) : 2462 - 2473
  • [10] A new variable stiffness actuator and its control method
    Zhang, Lei
    Wang, Wendong
    Shi, Yikai
    Chu, Yang
    Ming, Xing
    INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, 2019, 46 (04): : 553 - 560