Visual-based feedback control of casting manipulation

被引:0
|
作者
Fagiolini, A [1 ]
Arisumi, H [1 ]
Bicchi, A [1 ]
机构
[1] Univ Pisa, Fac Engn, Interdept Res Ctr E Piaggio, I-56126 Pisa, Italy
关键词
Casting manipulation; moving target; visual feedback; real-time planner;
D O I
暂无
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
In this paper, we present a method to control casting manipulation by means of real-time visual feedback. Casting manipulation is a technique to deploy a robotic end-effector at large distances from the robot's base, by throwing the end-effector and controlling its ballistic flight using forces transmitted through a light tether connected to the end-effector itself. The tether cable can also be used to retrieve the end-effector and exert forces on the robot's environment. Previous work has shown that casting manipulation is able to catch objects at a large distance, proving it viable for applications such as sample acquisition and return, rescue, etc. In previous experiments, the position of the target object was known exactly. In this paper, we present a first attempt at closing a real-time control loop on casting manipulation using visual feedback of moving targets. As accurate planning methods developed for off-line open-loop planning cannot be used in real-time, we develop a simplified model and control algorithm, whose effectiveness is demonstrated through experiments.
引用
收藏
页码:2191 / 2196
页数:6
相关论文
共 50 条
  • [1] Visual-based emotional descriptor and feedback mechanism for image retrieval
    Yoo, Hun-Woo
    JOURNAL OF INFORMATION SCIENCE AND ENGINEERING, 2006, 22 (05) : 1205 - 1227
  • [2] A Visual-Based Shared Control Architecture for Remote Telemanipulation
    Abi-Farraj, Firas
    Pedemonte, Nicolo
    Giordano, Paolo Robuffo
    2016 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2016), 2016, : 4266 - 4273
  • [3] Visual-based Robotic Control without Joint Velocities
    Hua, Changchun
    Liu, Yinjuan
    Leng, Jing
    2012 12TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION, ROBOTICS & VISION (ICARCV), 2012, : 1262 - 1267
  • [4] Learning Latent Object-Centric Representations for Visual-Based Robot Manipulation
    Wang, Yunan
    Wang, Jiayu
    Li, Yixiao
    Hu, Chuxiong
    Zhu, Yu
    2022 INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS AND MECHATRONICS (ICARM 2022), 2022, : 138 - 143
  • [5] Visual-based Tracking and Control Algorithm Design for Quadcopter UAV
    Qin, Xiangdong
    Wang, Tingting
    PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 3564 - 3569
  • [6] Visual-based quadrotor control by means of fuzzy cognitive maps
    Amirkhani, Abdollah
    Shirzadeh, Masoud
    Papageorgiou, Elpiniki I.
    Mosavi, Mohammad R.
    ISA TRANSACTIONS, 2016, 60 : 128 - 142
  • [7] A Generic Framework for the Design of Visual-based Gesture Control Interface
    Chen, Wen-Hui
    Lin, Yu-Hong
    Yang, Shun-Jie
    ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 3, 2010, : 370 - 373
  • [8] Visual-Based Pallet Location
    Cui, Guang-zhao
    Lu, Lin-sha
    He, Zhen-dong
    PROCEEDINGS OF 2010 INTERNATIONAL SYMPOSIUM ON IMAGE ANALYSIS AND SIGNAL PROCESSING, 2010, : 222 - 225
  • [9] A Visual-based Positioning System
    Chien, Cheng-Sheng
    Sun, Min-Te
    Wang, Yi-Chang
    Kuo, Jen You
    INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014), 2015, 274 : 1580 - 1590
  • [10] Visual-based Online Control of Gimbal on the UAV for Target Tracking
    Liu, Xingyu
    Zhou, Han
    Chang, Yuan
    Xiang, Xiaojia
    Zhao, Kuang
    Tang, Dengqing
    2020 CHINESE AUTOMATION CONGRESS (CAC 2020), 2020, : 5754 - 5759