Practical whole-body elasto-geometric calibration of a humanoid robot: Application to the TALOS robot

仿人机器人 计算机科学 机器人 校准 机器人校准 可观测性 集合(抽象数据类型) 刚体 人工智能 模拟 算法 控制理论(社会学) 机器人运动学 移动机器人 数学 控制(管理) 统计 物理 经典力学 应用数学 程序设计语言
作者
Vincent Bonnet,Joseph Mirabel,David Daney,Florent Lamiraux,Maxime Gautier,Olivier Stasse
出处
期刊:Robotics and Autonomous Systems [Elsevier BV]
卷期号:164: 104365-104365 被引量:2
标识
DOI:10.1016/j.robot.2023.104365
摘要

The whole-body elasto-geometrical calibration of humanoid robots is critical particularly for their control and accurate simulation. However, it is often not considered probably since it is a nontrivial task due to the mechanical complexity and inherent constraints of anthropomorphic structures. Also, humanoid robots have to sustain great efforts on their support legs, leading to link and joint being deformed, and are prone to auto-collision. Thus, elastic parameters have to be factored in addition to the geometric ones and to improve the precision of the pose of all robot segments. This is much more cumbersome and time consuming than the classical calibration of serial manipulators that deals solely with the estimation of the pose of the end-effector. Finally, due to the complexity of the task, a manual intervention in several steps of the calibration is no longer possible and a thorough automation of the approach is needed. Therefore, we propose to use a stereophotogrammetric system along with embedded joint torque sensors to calibrate the pose of all robot links with a fully automatic procedure. The generation of the minimal set of optimal calibration postures is based on a new iterative optimization process that leads to a stable maximum of an observability index. Then full set of geometrical parameters but also joint and base elastic parameters were calibrated using a single least-square optimization program. The proposed method was validated on a TALOS humanoid robot allowing to obtain an accurate whole-body calibration in less than 10 min. The proposed approach was cross-validated experimentally and showed an average RMS error of the tracked markers of 2.2 mm.
最长约 10秒,即可获得该文献文件

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
1秒前
飞跃发布了新的文献求助10
1秒前
1秒前
lzw123456发布了新的文献求助20
2秒前
秋qiu关注了科研通微信公众号
2秒前
kyt_tt完成签到,获得积分10
2秒前
2秒前
3秒前
3秒前
chunfengfusu应助清脆的海菡采纳,获得10
3秒前
CA737发布了新的文献求助10
3秒前
阿玺完成签到,获得积分10
4秒前
ZXH发布了新的文献求助10
4秒前
夏姬宁静完成签到,获得积分10
4秒前
852应助chu采纳,获得10
4秒前
4秒前
充电宝应助Lxxixixi采纳,获得10
4秒前
4秒前
5秒前
CC发布了新的文献求助10
5秒前
5秒前
娃哈哈发布了新的文献求助10
6秒前
6秒前
聪慧夜梦发布了新的文献求助10
6秒前
7秒前
7秒前
爱恋成伤发布了新的文献求助10
8秒前
8秒前
木棉哆哆发布了新的文献求助10
8秒前
9秒前
9秒前
9秒前
9秒前
10秒前
浮游应助朴素的寻真采纳,获得10
10秒前
文静的如娆完成签到,获得积分10
11秒前
11秒前
科研通AI5应助青城采纳,获得30
11秒前
11秒前
ynn发布了新的文献求助50
12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
Pipeline and riser loss of containment 2001 - 2020 (PARLOC 2020) 1000
Artificial Intelligence driven Materials Design 600
Investigation the picking techniques for developing and improving the mechanical harvesting of citrus 500
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 500
A Manual for the Identification of Plant Seeds and Fruits : Second revised edition 500
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.) 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5192215
求助须知:如何正确求助?哪些是违规求助? 4375198
关于积分的说明 13624085
捐赠科研通 4229463
什么是DOI,文献DOI怎么找? 2319944
邀请新用户注册赠送积分活动 1318415
关于科研通互助平台的介绍 1268598