Real-time Distance Query and Collision Avoidance for Point Clouds with Heavy-duty Redundant Manipulator

被引:0
|
作者
Kivelda, Tuomo [1 ]
Mustalahti, Pauli [1 ]
Mattila, Jouni [1 ]
机构
[1] Tampere Univ Technol, Lab Automat & Hydraul, Tampere 33720, Finland
来源
2017 IEEE INTERNATIONAL CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS (CIS) AND IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS (RAM) | 2017年
基金
芬兰科学院;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a real-time method for generating joint trajectories for redundant manipulators with collision avoidance capability. The coordinated motion control system of the heavy-duty hydraulic manipulator resolves joint references so that a goal position can be reached in real-time without any collisions. The proposed method is able to detect and prevent different types of possible collisions, including self-collisions and collisions with obstacles. When the control system detects the risk of collision, the collision server searches the points where the collision is about to occur and calculates the shortest distance between the colliding objects. The collision server is used to retain static point clouds and to calculate the shortest distance between objects that are too close to each other. The point clouds on the server are kept up to date with the manipulators' joint sensors and laser scanner-based measurements. During coordinated motion control, the joint trajectories of the redundant manipulator are modified so that the collisions can be avoided, while at the same time, the trajectory of the end-effector maintains its initial trajectory if possible. Results are given for a 4-DOF redundant heavy-duty hydraulic manipulator to demonstrate the capability of this collision avoidance control system.
引用
收藏
页码:272 / 277
页数:6
相关论文
共 50 条
  • [1] Real-time collision avoidance for a redundant manipulator in an unstructured environment
    Xie, HP
    Patel, RV
    Kalaycioglu, S
    Asmer, H
    1998 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS - PROCEEDINGS, VOLS 1-3: INNOVATIONS IN THEORY, PRACTICE AND APPLICATIONS, 1998, : 1925 - 1930
  • [2] REAL-TIME COLLISION-AVOIDANCE FOR REDUNDANT MANIPULATORS
    GLASS, K
    COLBAUGH, R
    LIM, D
    SERAJI, H
    IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 1995, 11 (03): : 448 - 457
  • [3] Redundant Robotic Manipulator Path Planning for Real-Time Obstacle and Self-Collision Avoidance
    Kivela, Tuomo
    Mattila, Jouni
    Puura, Jussi
    Launis, Sirpa
    ADVANCES IN SERVICE AND INDUSTRIAL ROBOTICS, 2018, 49 : 208 - 216
  • [4] AN APPROACH TO REAL-TIME COLLISION AVOIDANCE FOR AUTONOMOUS VEHICLES USING LIDAR POINT CLOUDS
    Sandu, C.
    Susnea, I.
    JOURNAL OF APPLIED ENGINEERING SCIENCES, 2022, 12 (01) : 129 - 134
  • [5] Whole-Body Self-Collision Distance Detection for a Heavy-Duty Manipulator Using Neural Networks
    Liu, Hua
    Wang, Hengsheng
    Guo, Xinping
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2024, 9 (02) : 1380 - 1387
  • [6] Real-time collision avoidance for 7-DOF redundant anthropomorphic arm
    Dong, Chun
    Yang, Geng
    Xu, Wenli
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2004, 44 (10): : 1341 - 1344
  • [7] Real-time velocity planning for heavy duty truck with obstacle avoidance
    Morsali, Mahdi
    Frisk, Erik
    Aslund, Jan
    2017 28TH IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV 2017), 2017, : 109 - 114
  • [8] Real-time dynamic system to path tracking and collision avoidance for redundant robotic arms
    Gao Xin
    Jia Qingxuan
    Sun Hanxu
    Chen Gang
    Zhang Qianru
    Yang Yukun
    TheJournalofChinaUniversitiesofPostsandTelecommunications, 2016, 23 (01) : 73 - 85+96
  • [9] Real-time dynamic system to path tracking and collision avoidance for redundant robotic arms
    Gao Xin
    Jia Qingxuan
    Sun Hanxu
    Chen Gang
    Zhang Qianru
    Yang Yukun
    The Journal of China Universities of Posts and Telecommunications, 2016, (01) : 73 - 85
  • [10] A Real-Time Nonlinear MPC Scheme with Emission Constraints for Heavy-Duty Diesel Engines
    Harder, Karsten
    Buchholz, Michael
    Niemeyer, Jens
    Remele, Joerg
    Graichen, Knut
    2017 AMERICAN CONTROL CONFERENCE (ACC), 2017, : 240 - 245