4.7 Article

Localization, obstacle avoidance planning and control of a cooperative cable parallel robot for multiple mobile cranes

Journal

ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
Volume 34, Issue -, Pages 105-123

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rcim.2014.11.005

Keywords

Cooperative cable parallel robot; Multiple mobile cranes; Localization; Obstacle avoidance planning; Automatic leveling control

Funding

  1. National Natural Science Foundation of China [51275515]
  2. State Key Laboratory of Robotics and System [SKLRS-2012-MS-08]
  3. Fundamental Research Funds for the Central Universities [2014HGCH0015]

Ask authors/readers for more resources

This paper addresses the cooperative problems in terms of localization, obstacle avoidance planning and automatic leveling control for a cable parallel robot for multiple mobile cranes (CPRMCs). The design model of the CPRMCs is elaborated on. The three-dimensional grid map method is utilized to plot the environment map based on the operation environment model. By combining the relative localization method with the absolute localization method, a cooperative localization scheme of the CPRMCs is developed, and an improved localization algorithm is designed on the basis of multilateration method. Then, according to the grid-based artificial potential field method, a global path planning of the CPRMCs is performed. Considering the possible collision of the single mobile crane, the sensor technology is applied to the cooperative obstacle avoidance. In addition, a four-point collaborative leveling method is adopted for automatic leveling control of the platform of the CPRMCs. Finally, the effectiveness of the CPRMCs system is verified through simulations. (C) 2014 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available