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Robot inverse dynamics on a concurrent computation ensemble

Conference ·
OSTI ID:5422165
Advances in VLSI technology provide a strong incentive to configure the ''brain'' of future intelligent robots as concurrent computation ensembles. The design of real-time operating systems for such machines is an important objective of the CESAR program. This paper addresses the development of ROSES, a prototype software system intended to provide expert scheduling capabilities in mapping precedence-constrained task graphs onto a computation ensemble. This problem being strongly NP-complete, ROSES attempts to achieve near-optimal solutions by combining heuristic techniques (to handle time complexity) with special instances of abstract data structures (to handle space complexity). The technique is applied to the solution of the inverse dynamics equations of a robot arm and achieves high efficiency and proper load balance. Critical concepts in the longer-term development of a Virtual Time Intelligent Machine Operating System (IMOS/VT) are also discussed.
Research Organization:
Oak Ridge National Lab., TN (USA)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
5422165
Report Number(s):
CONF-850862-5; ON: DE85016306
Country of Publication:
United States
Language:
English