Enabling impedance-based physical human–multi–robot collaboration: Experiments with four torque-controlled manipulators

机器人 阻抗控制 机器人学 接触力 控制工程 人机交互 扭矩 触觉技术 计算机科学 人工智能 工程类 人机交互 模拟 量子力学 热力学 物理
作者
Niels Dehio,Joshua Smith,Dennis Leroy Wigand,Pouya Mohammadi,Michael Mistry,Jochen J. Steil
出处
期刊:The International Journal of Robotics Research [SAGE]
卷期号:41 (1): 68-84 被引量:7
标识
DOI:10.1177/02783649211053650
摘要

Robotics research into multi-robot systems so far has concentrated on implementing intelligent swarm behavior and contact-less human interaction. Studies of haptic or physical human-robot interaction, by contrast, have primarily focused on the assistance offered by a single robot. Consequently, our understanding of the physical interaction and the implicit communication through contact forces between a human and a team of multiple collaborative robots is limited. We here introduce the term Physical Human Multi-Robot Collaboration (PHMRC) to describe this more complex situation, which we consider highly relevant in future service robotics. The scenario discussed in this article covers multiple manipulators in close proximity and coupled through physical contacts. We represent this set of robots as fingers of an up-scaled agile robot hand. This perspective enables us to employ model-based grasping theory to deal with multi-contact situations. Our torque-control approach integrates dexterous multi-manipulator grasping skills, optimization of contact forces, compensation of object dynamics, and advanced impedance regulation into a coherent compliant control scheme. For this to achieve, we contribute fundamental theoretical improvements. Finally, experiments with up to four collaborative KUKA LWR IV+ manipulators performed both in simulation and real world validate the model-based control approach. As a side effect, we notice that our multi-manipulator control framework applies identically to multi-legged systems, and we execute it also on the quadruped ANYmal subject to non-coplanar contacts and human interaction.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
汉堡包应助好好好采纳,获得10
1秒前
欣喜的半鬼完成签到,获得积分10
1秒前
1秒前
1秒前
桐桐应助王栋采纳,获得10
1秒前
小红发布了新的文献求助10
2秒前
橙子发布了新的文献求助10
3秒前
无花果应助66666采纳,获得10
3秒前
3秒前
3秒前
无聊的可冥完成签到,获得积分10
4秒前
4秒前
心尘发布了新的文献求助10
4秒前
xlj发布了新的文献求助10
5秒前
大气季节发布了新的文献求助10
5秒前
6秒前
shen发布了新的文献求助10
6秒前
6秒前
CipherSage应助微眠采纳,获得10
7秒前
醒醒发布了新的文献求助10
7秒前
司月五发布了新的文献求助10
8秒前
gugugu完成签到,获得积分10
8秒前
大模型应助科研通管家采纳,获得10
8秒前
寻道图强应助科研通管家采纳,获得100
8秒前
科目三应助科研通管家采纳,获得10
9秒前
浮游应助科研通管家采纳,获得10
9秒前
深情安青应助科研通管家采纳,获得10
9秒前
情怀应助科研通管家采纳,获得10
9秒前
今后应助格里格利亚采纳,获得10
9秒前
深情安青应助小二采纳,获得10
9秒前
9秒前
han发布了新的文献求助10
10秒前
Lee发布了新的文献求助10
10秒前
Jasper应助嘟嘟图图采纳,获得10
11秒前
ffl应助六包辣条采纳,获得10
12秒前
12秒前
隐形曼青应助碧蓝的睫毛采纳,获得10
12秒前
shen完成签到,获得积分10
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
Metagames: Games about Games 700
King Tyrant 640
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5572770
求助须知:如何正确求助?哪些是违规求助? 4658712
关于积分的说明 14722778
捐赠科研通 4598617
什么是DOI,文献DOI怎么找? 2523891
邀请新用户注册赠送积分活动 1494593
关于科研通互助平台的介绍 1464622