Towards Teleoperation with Human-like Dynamics: Human Use of Elastic Tools

被引:0
|
作者
Aiple, Manuel [1 ]
Schiele, Andre [1 ]
机构
[1] Delft Univ Technol, Dept BioMechan Engn, Delft, Netherlands
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Variable stiffness actuators undergo lower peak force in contacts compared to their rigid counterparts, and are thus safer for human-robot interaction. Furthermore, they can store energy in their elastic element and can release it later to achieve human-like dynamic movements. However, it is not clear how to integrate them in teleoperator systems so that they can be controlled intuitively by a human. We performed an experiment to study human use of elastic tools to determine how a teleoperator system with an elastic slave would need to be designed. For this, we had 13 untrained participants hammer with an elastic tool under different stiffness conditions, asking them to try to find the best timing for a backward-forward swing motion in order to achieve the strongest impact. We found that the participants generally executed the task efficiently after a few trials and they converged to very similar solutions. The stiffness influenced the performance slightly, a stiffness between 2.3 Nm/rad and 4.1 Nm/rad showing the best results. We conclude that humans intuitively know how to efficiently use elastic tools for hammering type tasks. This could facilitate the control of teleoperator systems with elastic slave manipulators for tasks requiring explosive movements like hammering.
引用
收藏
页码:171 / 176
页数:6
相关论文
共 50 条
  • [1] Towards More Human-Like Episodic Memory for More Human-Like Agents
    Brom, Cyril
    Lukavsky, Jiri
    INTELLIGENT VIRTUAL AGENTS, PROCEEDINGS, 2009, 5773 : 484 - +
  • [2] Towards human-like spoken dialogue systems
    Edlund, Jens
    Gustafson, Joakim
    Heldner, Mattias
    Hjalmarsson, Anna
    SPEECH COMMUNICATION, 2008, 50 (8-9) : 630 - 645
  • [3] Towards Human-Like Conversational Search Systems
    Dubiel, Mateusz
    CHIIR'18: PROCEEDINGS OF THE 2018 CONFERENCE ON HUMAN INFORMATION INTERACTION & RETRIEVAL, 2018, : 348 - 350
  • [4] Will human-like machines make human-like mistakes?
    Livesey, Evan J.
    Goldwater, Micah B.
    Colagiuri, Ben
    BEHAVIORAL AND BRAIN SCIENCES, 2017, 40
  • [5] Towards a human-like approach to path finding
    Rahmani, Vahid
    Pelechano, Nuria
    COMPUTERS & GRAPHICS-UK, 2022, 102 : 164 - 174
  • [6] Towards Human-Like Learning Dynamics in a Simulated Humanoid Robot for Improved Human-Machine Teaming
    Akshay
    Chen, Xulin
    He, Borui
    Katz, Garrett E.
    AUGMENTED COGNITION, AC 2022, 2022, 13310 : 225 - 241
  • [7] Human-like hand use in Australopithecus africanus
    Skinner, Matthew M.
    Stephens, Nicholas B.
    Tsegai, Zewdi J.
    Foote, Alexandra C.
    Nguyen, N. Huynh
    Gross, Thomas
    Pahr, Dieter H.
    Hublin, Jean-Jacques
    Kivell, Tracy L.
    SCIENCE, 2015, 347 (6220) : 395 - 399
  • [8] Towards a Human-like Vision System for Driver Assistance
    Fritsch, Jannik
    Michalke, Thomas
    Gepperth, Alexander
    Bone, Sven
    Waibel, Falko
    Kleinehagenbrock, Marcus
    Gayko, Jens
    Goerick, Christian
    2008 IEEE INTELLIGENT VEHICLES SYMPOSIUM, VOLS 1-3, 2008, : 612 - +
  • [9] Towards Industrial Robots with Human-like Moral Responsibilities
    Curuklu, Baran
    Dodig-Crnkovic, Gordana
    Akan, Batu
    PROCEEDINGS OF THE 5TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI 2010), 2010, : 85 - 86
  • [10] Human-like AI
    Raggett, Dave
    ERCIM NEWS, 2021, (125): : 42 - 43