skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: A model of reactive planning for multiple mobile agents

Conference · · Proceedings. 1991 IEEE International Conference on Robotics and Automation
 [1]
  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Reactive planning is studied for multiple mobile agents. The approach taken is distributed, i.e., each planning agent independently plans its own action based on its map information. An environment contains mobile agents of different capacities with respect to knowledge about the environment, planning algorithms, etc. A model for such reactive agents is described, and simulation results are presented to show their behavior patterns.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
DOE Contract Number:
AC05-84OR21400
OSTI ID:
6214291
Report Number(s):
CONF-910451-3; ON: DE90017739
Journal Information:
Proceedings. 1991 IEEE International Conference on Robotics and Automation, Conference: IEEE Robotics and Automation Conference, Sacramento, CA (United States), 7-12 Apr 1991; Related Information: Chapter in the book titled "Proceedings. 1991 IEEE International Conference on Robotics and Automation"
Publisher:
IEEE
Country of Publication:
United States
Language:
English

References (14)

Using occupancy grids for mobile robot perception and navigation journal June 1989
Temporal reasoning: a solution for multiple agent collision avoidance conference August 2002
A combination of centralized and distributed methods for multi-agent planning and scheduling conference August 2002
A paradigm for incorporating vision in the robot navigation function conference August 2002
Time-minimal paths among moving obstacles conference August 2002
Fast motion planning for multiple moving robots conference August 2002
Motion planning in the presence of moving obstacles conference January 1985
Multiple robot path coordination using artificial potential fields conference August 2002
Toward Efficient Trajectory Planning: The Path-Velocity Decomposition journal September 1986
On multiple moving objects journal November 1987
Autonomous mobile robot navigation and learning journal June 1989
On the Complexity of Motion Planning for Multiple Independent Objects; PSPACE- Hardness of the "Warehouseman's Problem" journal December 1984
Collision-free trajectory control for multiple robots based on neural optimization network journal July 1990
An algorithm for planning collision-free paths among polyhedral obstacles journal October 1979