Back to Search Start Over

Motion Planning for Multi-Mobile-Manipulator Payload Transport Systems

Authors :
Tallamraju, Rahul
Salunkhe, Durgesh Haribhau
Rajappa, Sujit
Ahmad, Aamir
Karlapalem, Kamalakar
Shah, Suril Vijaykumar
Publication Year :
2019

Abstract

In this paper, a kinematic motion planning algorithm for cooperative spatial payload manipulation is presented. A hierarchical approach is introduced to compute real-time collision-free motion plans for a formation of mobile manipulator robots. Initially, collision-free configurations of a deformable 2-D virtual bounding box are identified, over a planning horizon, to define a convex workspace for the entire system. Then, 3-D payload configurations whose projections lie within the defined convex workspace are computed. Finally, a convex decentralized model-predictive controller is formulated to plan collision-free trajectories for the formation of mobile manipulators. This approach facilitates real-time motion planning for the system and is scalable in the number of robots. The algorithm is validated in simulated dynamic environments. Simulation video: https://youtu.be/9EKj7RwRs_4.<br />Comment: 8 pages, 8 figures

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1903.07758
Document Type :
Working Paper