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R & D Profile Jet Propulsion Laboratory Robotic Facilities and Associated Research

Published online by Cambridge University Press:  09 March 2009

C. Weisbin  and
D. Perillard
C. Weisbin
Affiliation:
Robotics and Automation Systems Section, Jet Propulsion Laboratory, 4800 Oak Grave Drive, Pasadena, California 91109 (USA)
D. Perillard
Affiliation:
Robotics and Automation Systems Section, Jet Propulsion Laboratory, 4800 Oak Grave Drive, Pasadena, California 91109 (USA)
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Summary

This paper describes the robotics facilities and associated research program of the Jet Propulsion Laboratory, lead center in telerobotics for the United States National Aeronautics and Space Administration. Emphasis is placed on evolution from teleoperation to remote System automation. Research is described in manipulator modelling and control, real-time planning and monitoring, navigation in outdoor terrain, real-time sensing and perception, human-machine interface, and overall System architectures. Applications to NASA missions emphasize robotic spacecraft for solar System exploration, satellite servicing and retrieval, assembly of structures, and surveillance. Applications to military missions include battlefield navigation, surveillance, logistics, command and control.

Keywords

ProfileJPLTeleroboticsResearch

Information

Type
Article
Information
Robotica , Volume 9 , Issue 1 , January 1991 , pp. 7 - 21
Copyright
Copyright © Cambridge University Press 1991

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References

1.Kan, E. et al. , “Telerobotics for Space Assembly and Servicing Demonstration-FY89 Final Report” Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California. Document number JPL D-6781 (11, 1989).Google Scholar
2.Kan, E., “System Design of A Space Telerobot System” Proceedings of First IEEE International Workshop on Intelligent Robots and Systems (IROS '88), Tokyo, Japan (10, 1988), pp. 691–700.CrossRefGoogle Scholar
3.Hayati, S., Tso, K., and Lee, T., “Coordination and Control,” J. Robotics and Autonomous Systems 5, No. 4, 333–344, (12, 1989).CrossRefGoogle Scholar
4.Backes, P. G. and Tso, K., “UMI: An Interactive Supervisory and Shared Control for Telerobotics” Proceedings of the 1990 IEEE International Conference on Robotics and AutomationCincinnati, OH, 1096–1101 (1990).Google Scholar
5.Hayati, S., “Position and Force Control of Coordinated Multiple Arms” IEEE Transactions on Aerospace and Electronics on Aerospace and Electronic Systems 24, No. 5, 584–590 (09, 1988).CrossRefGoogle Scholar
6.Hayati, S. and Venkataraman, S. T., “Design and Implementation of a Robot Control System with Traded and Shared Control Capability” Proceedings of the 1989 IEEE International Conference on Robotics and Automation,Scottsdale, Arizona (05 14–19, 1989) pp. 1310–1315.Google Scholar
7.Hayati, S. et al. , “A Testbed for a Unified Teleoperated-Autonomous Dual-Arm Robotic System” Proceedings of the 1990 IEEE International Conference on Robotics and Automation,Cincinnati, OH, 1090–1095 (1990).Google Scholar
8.Matijevic, J., Zimmerman, W. and Dolinsky, S., “The NASA Telerobot Testbed Architecture” Proceedings of the NASA Conference on Space Telerobotics,JPL Publication 89–7 (01 31, 1989) pp. 185–196.Google Scholar
1.Rodriguez, G., “Kalman Filtering, Smoothing and Recursive Robot Arm Forward and Inverse Dynamics” IEEE Journ. Robotics and Automation RA-3, No. 6, pp. 624–639 (12, 1986).Google Scholar
2.Rodriguez, G., “Recursive Forward Dynamics for Multiple Robot Arms Moving a Common Task Object” IEEE Trans. Robotics and Automation 5, No. 4, (08, 1989), pp. 510–521.CrossRefGoogle Scholar
3.Rodriguez, G. and Seraji, H. (eds.), Proceedings of the NASA Conference on Space Telerobotics,JPL Publication 89–7, 1–5, (01 31, 1989).Google Scholar
4.Seraji, H., “Configuration Control of Redundant Manipulators: Theory and Implementation” IEEE Trans. on Robotics and Automation 5(4), 474–490 (1989).CrossRefGoogle Scholar
5.Seraji, H., “Decentralized Adaptive Control of Manipulators: Theory, Simulation, and Experimentation” IEEE Trans. on Robotics and Automation 5(2) 183–201 (1989).CrossRefGoogle Scholar
6.Seraji, H., “A New Approach to Adaptive Control of Manipulators,” ASME J. Dynamics, Measurement and Control, 109(3), 193–202 (1987).Google Scholar
7.Seraji, H., “An Approach to Multivariable Control Manipulators,” ASME J. Dynamic Systems, Measurement and Control 109(2) 146–154 (1987).CrossRefGoogle Scholar
1.Wilcox, B. and Gennery, D., “A Mars Rover for the 1990's” J. British Interplanetary Society 40, No. 10, 483 (10, 1987).Google Scholar
2.Gennery, D., “Visual Terrain Matching for A Mars Rover” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,San Diego, California06 4–8, 1989 pp. 483–491.Google Scholar
3.Gat, E., Slack, M.G., Miller, D.P. and Firby, R.J., “Path Planning and Execution Monitoring for a Planetary Rover” Proceedings of the IEEE International Conference on Robotics and Automation,Cincinnati, OH (05 1990) pp. 20–27.Google Scholar
4.Miller, D.P., Atkinson, D.J., Wilcox, B. and Mishkin, A. H., “Autonomous Navigation and Control of a Mars Rover” Proceedings of the 11th IFAC Symposium on Automatic Control in Aerospace, Tsukuba, Japan (1989), pp. 127–130.Google Scholar
5.Miller, D.P., Mishkin, A., Lambert, K., Bickler, D. and Bernard, D., “Autonomous Navigation & Mobility for a Planetary Rover,” Proceedings of the 1989 AIAA Meeting on Aerospace Sciences, 02, 1989, Reno, NV, Paper No. 89–0859 (1989).Google Scholar
1.Anderson, C.H., Burt, P.J. and van der Wal, G.S., “Change Detection and Tracking Using Pyramid Transform Techniques” SPIE 579 Intelligent Robots and Computer Vision 72–78 (1985).CrossRefGoogle Scholar
2.Matthies, L. and Shafer, S.A., “Error Modelling in Stereo Navigation” IEEE J. Robotics and Automation RA-3, No. 3, 239 (06, 1987).CrossRefGoogle Scholar
3.Matthies, L., Szeliski, R. and Kanade, T., “Kalman Filter-Based Algorithms for Estimating Depth from Image Sequences” INT. J. Computer Vision 3 No. 3, 209–238 (09, 1989).CrossRefGoogle Scholar
1.Bejczy, A.K., “Sensors, Controls, and Man-Machine Interface for Advanced Teleoperations” Science 208, 1327–1335 (1980).CrossRefGoogle Scholar
2.Bejczy, A.K. and Szakaly, Z., “Universal Computer Control System for Space Telerobots” Proceedings of 1987 IEEE International Conference on Robotics and Automation,Raleigh, NC (1987) pp. 318–324.Google Scholar
3.Bejczy, A.K., Szakaly, Z. and Kim, W.S., “A Laboratory Breadboard System for Dual-Arm Teleoperation” SOAR'89 Workshop, NASA Johnson Space Center, Houston, TX (07, 1989) pp. 649–660.Google Scholar
4.Schenker, P., “NASA Research and Development for Space Robotics” IEEE Trans. Aerospace Electr. System. 24, No. 5 (1988) pp. 523–534. (Lead paper for special issue on space robotics: ed, R. Volz).CrossRefGoogle Scholar
5.Kan, E., “Man-Machine Interface of a Telerobotic System” Proceedings of Second IEEE International Workshop on Intelligent Robots and Systems (IROS'89), Tsukuba, Japan, (09, 1989) pp. 564–572.Google Scholar
1.Desai, R.S., Doshi, R.S. and Lam, R.L., “GARE: Geometric Analysis and Reasoning Engine” 3rd Eurographics Workshop on ICAD, Texel, The Netherlands (04 3–7, 1989) pp. 197–208.Google Scholar
2.Desai, R.S. and Volz, R.A., “Identification and Verification of Termination Conditions in Fine Motion in Presence of Sensor Errors and Geometric Uncertainties” IEEE International Conference on Robotics and Automation,Scottsdale (05 1989), pp. 800–807.Google Scholar