Abstract
In this paper we propose a distributed computing framework for real-time management of large number of robots in an industrial setting. The primary design objective of this framework is to allow a centralized heterogeneous multiprocessor controller to perform real-time scheduling and evaluation of Newton-Euler equations for manipulating robot motion. The real-time scheduling of tasks in such an environment is shown to be an NP-hard problem for which we propose a deadline-based heuristic. A detailed simulation reveals that the proposed heuristic can achieve a near optimal performance.