High-Level Multisensor Integration

In this paper we describe an approach to high-level multisensor integration in the context of an autonomous mobile robot. Previous papers have described the development of the INRIA mobile robot subsystems: 1. sensor and actuator systems 2. distance and range analysis 3. feature extraction and segmentation 4. motion detection 5. uncertainty management, and 6. 3-D environment descriptions. We describe here an approach to: the semantic analysis of the 3-D environment descriptions. This analysis is organized in terms of robot goals and behaviors. This is accomplished by the use of logical behaviors. Such an approach allows for active control of the sensors in acquiring information.

[1]  Hugh F. Durrant-Whyte,et al.  Consistent Integration and Propagation of Disparate Sensor Observations , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[2]  Amar Mitiche,et al.  Multisensor Knowledge Systems , 1988, Int. J. Robotics Res..

[3]  Olivier D. Faugeras Artificial 3D Vision , 1987, IJCAI.

[4]  Gregory D. Hager,et al.  Active reduction of uncertainty in multisensor systems , 1988 .

[5]  Hugh Durrant-Whyte,et al.  Progress toward a system that can acquire pallets and clean warehouses , 1988 .

[6]  Georges Giralt,et al.  An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots , 1990, Autonomous Robot Vehicles.

[7]  Olivier D. Faugeras,et al.  Building, Registrating, and Fusing Noisy Visual Maps , 1988, Int. J. Robotics Res..

[8]  Benjamin Kuipers,et al.  Navigation and Mapping in Large Scale Space , 1988, AI Mag..

[9]  James S. Albus,et al.  Brains, behavior, and robotics , 1981 .

[10]  Pierre Tournassoud,et al.  Motion planning for a mobile robot with a kinematic constraint , 1988, Proceedings. 1988 IEEE International Conference on Robotics and Automation.

[11]  Bir Bhanu,et al.  A Framework for Distributed Sensing and Control , 1985, IJCAI.

[12]  Bir Bhanu,et al.  The specification of distributed sensing and control , 1985, J. Field Robotics.

[13]  Olivier D. Faugeras,et al.  Representing Stereo Data with the Delaunay Triangulation , 1990, Artif. Intell..

[14]  Thomas C. Henderson,et al.  FAULT TOLERANT SENSOR SCHEME. , 1984 .

[15]  Tom Henderson,et al.  Logical sensor systems , 1984, J. Field Robotics.

[16]  Bernard Faverjon,et al.  The Mixed Approach for Motion Planning: Learning Global Strategies from a Local Planner , 1987, IJCAI.

[17]  Ronald C. Arkin,et al.  Motor schema based navigation for a mobile robot: An approach to programming by behavior , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[18]  David J. Kriegman,et al.  A mobile robot: Sensing, planning and locomotion , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[19]  Olivier D. Faugeras,et al.  Building visual maps by combining noisy stereo measurements , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[20]  David J. Kriegman,et al.  A Mobile Robot: Sensing, Planning and Locomotion , 1990, Autonomous Robot Vehicles.

[21]  Avinash C. Kak,et al.  Knowledge-based robotics , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[22]  Olivier D. Faugeras,et al.  Building a Consistent 3D Representation of a Mobile Robot Environment by Combining Multiple Stereo Views , 1987, IJCAI.

[23]  E. Triendl,et al.  Stereo vision and navigation within buildings , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.