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
摆渡人完成签到,获得积分10
刚刚
上岸发布了新的文献求助10
1秒前
自有龙骧完成签到 ,获得积分10
2秒前
小熊梅尼耶完成签到 ,获得积分10
2秒前
2秒前
流念完成签到,获得积分10
2秒前
勤奋水之发布了新的文献求助10
2秒前
道听途说完成签到 ,获得积分10
2秒前
Lily发布了新的文献求助10
2秒前
科研通AI6应助miaomiao采纳,获得10
2秒前
2333发布了新的文献求助20
2秒前
zybbb发布了新的文献求助10
2秒前
苹果凝旋完成签到 ,获得积分10
3秒前
3秒前
研友_VZG7GZ应助黎松采纳,获得10
3秒前
JamesPei应助杜faifai采纳,获得10
4秒前
4秒前
wzz发布了新的文献求助10
5秒前
小巍澜完成签到 ,获得积分10
5秒前
5秒前
闫永娟完成签到 ,获得积分10
5秒前
5秒前
5秒前
6秒前
Lily完成签到,获得积分10
7秒前
678邹发布了新的文献求助10
7秒前
万能图书馆应助Ian采纳,获得10
7秒前
NexusExplorer应助张羊羔采纳,获得10
7秒前
8秒前
共享精神应助碧蓝飞雪采纳,获得10
8秒前
8秒前
欧子发布了新的文献求助10
8秒前
8秒前
9秒前
葛洪成发布了新的文献求助10
9秒前
9秒前
王小冉发布了新的文献求助10
9秒前
xia发布了新的文献求助10
9秒前
打打应助可达燊采纳,获得10
10秒前
10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
King Tyrant 680
Linear and Nonlinear Functional Analysis with Applications, Second Edition 388
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 5577090
求助须知:如何正确求助?哪些是违规求助? 4662349
关于积分的说明 14741219
捐赠科研通 4602974
什么是DOI,文献DOI怎么找? 2526066
邀请新用户注册赠送积分活动 1495974
关于科研通互助平台的介绍 1465478