Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-28T04:13:13.536Z Has data issue: false hasContentIssue false

R&D Profile Section: The Robotics and Intelligent Systems Program (RISP) at the Oak Ridge National Laboratory*

Published online by Cambridge University Press:  09 March 2009

C. R. Weisbin
Affiliation:
Oak Ridge National Laboratory, † Oak Ridge, Tennessee 37831–6364 (USA)
W. R. Hamel
Affiliation:
Oak Ridge National Laboratory, † Oak Ridge, Tennessee 37831–6364 (USA)
D. P. Kuban
Affiliation:
Oak Ridge National Laboratory, † Oak Ridge, Tennessee 37831–6364 (USA)
S. A. Meacham
Affiliation:
Oak Ridge National Laboratory, † Oak Ridge, Tennessee 37831–6364 (USA)
F. G. Pin
Affiliation:
Oak Ridge National Laboratory, † Oak Ridge, Tennessee 37831–6364 (USA)

Summary

This paper describes the Robotics and Intelligent Systems Program (RISP) at the Oak Ridge National Laboratory (ORNL). RISP is a focal point at ORNL for studies in robotics, teleoperations, and related aspects of intelligent machines, such as artificial intelligence, neural networks, and parallel computing. RISP research is intended to minimize human error through automation of repetitive, dull, and routine tasks; to minimize human risk by allowing effective remote operation in hazardous environments; to optimize cooperation of humans and machines; and to cope effectively with emergency situations where fast response is essential.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1989

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

X. ILLUSTRATIVE RISP PUBLICATIONS

1.Burks, B.L., deSaussure, G., Weisbin, C.R., Jones, J.P. and Hamel, W.R., “Autonomous Navigation Exploration and Recognition” Winter 1987 issue of IEEE Expert 1827 (1987).CrossRefGoogle Scholar
2.Weisbin, C.R., deSaussure, G. and Kammer, D.W., “Self-Controlled: A Real-Time Expert for an Autonomous Mobile RobotComputers in Mechanical Engineering 5, No. 2, 1219 (1986).Google Scholar
3.Jorgensen, C.C., Hamel, W.R. and Weisbin, C.R., “Exploring Autonomous Robot Navigation” BYTE 223235 (01 1986).Google Scholar
4.Sabharwal, A. S., Iyengar, S. S., Weisbin, C. R. and Pin, F. G., “Expert Systems” Avignon 1988, Eighth International Workshop–Expert Systems and Their Applications (Nanterri, France 1988).Google Scholar
5.Rao, N.S.V., Iyengar, S.S., Jorgenson, C.C. and Weisbin, C.R., “Robot Navigation in an Unexplored TerrainRobotic Systems 3, No. 4, 389407 (1986).CrossRefGoogle Scholar
6.Rao, N.S.V., Iyengar, S.S. and deSaussure, G., “The Visit Problem: Visibility Graph-Based Solution” Proceedings 3, 1988 IEEE International Conference on Robotics and Automation, Philadelphia, Pennsylvania (04 25–29, 1988) pp. 16501655.Google Scholar
1.Dubey, R.V., Euler, J.A. and Babcock, S.M., “An Efficient Gradient Projection Optimization Scheme for a Seven-Degree-of-Freedom Redundant Robot with Spherical Wrist1988 IEEE International Conference on Robots and Automation,April 25–29, 1988,Philadelphia, Pennsylvania,Proceedings 1, 28–36 (1988).Google Scholar
2.Herndon, J.N., Hamel, W.R. and Meintel, A.J., “Robotic Systems for NASA Ground-Based ResearchRobotics 4, No. 1, 1925 (03 1988).Google Scholar
3.Dubey, R.V., Euler, J.E., Glasswell, R.L. and Babcock, S.M., “Real-Time Implementation of a Kinematic Optimization Scheme for Seven-Degree-of-Freedom Redundant Robots with Spherical WristsAmer. Control Conference,Atlanta, GA (06 15–17, 1988).CrossRefGoogle Scholar
4.Forest-Barlach, M.G. and Babcock, S.M., “Inverse Dynamics Position Control of a Compliant ManipulatorIEEE J. Robotics and Automation RA-3, No. 1, 7583 (02 1987).CrossRefGoogle Scholar
5.Barhen, J., “Robot Inverse Dynamics on a Concurrent Computation EnsembleProceedings, 1985 International Computers in Engineering Conference,Boston, MA415429 (08 4–8, 1985).Google Scholar
6.Babcock, S.M., Hamel, W.R. and Killough, S.M., “Advanced Manipulation for Autonomous Mobile Robots” International Topical Meeting on Remote Systems and Robotics, Pasco, WA 290297 (03 29–04 2, 1987).Google Scholar
1.Bilbro, G., Mann, R.C., Miller, T.K., Snyder, W.E., VandenBout, D.E. and White, M., “Simulated Annealing Using the Mean Field Approximation” (Submitted to Science, 1988).Google Scholar
2.Goldstein, M., Pin, F.G., deSaussure, G. and Weisbin, C.R., “3-D World Modeling Based on Combinatorial Geometry for Autonomous Robot Navigation” 1987 IEEE International Conference on Robotics and Automation, 2, 727733 (1987).CrossRefGoogle Scholar
3.Jones, J.P. and Mann, R.C., “Concurrent Algorithms for a Mobile Robot Vision System,” Applications of Artificial Intelligence VI, Proceedings, SPIE 937, 497503 (Mohan Trivedi, Editor) (1988).CrossRefGoogle Scholar
4.Jones, J.P., Mann, R.C. and Simpson, E.M., “A Computer Vision System for a Hypercube Concurrent Ensemble” ORNL/TM-10679 (1988).Google Scholar
5.Jones, J.P., “A Concurrent On-Board Vision System for a Mobile RobotProceedings of Third Conference on Hypercube Concurrent Computers and Applications, Pasadena, CA (01 19–20, 1988) 2, 12361246 (1988).Google Scholar
6.Glover, C.W., “Multi-Sensor Integration on the NCUBE Hypercube ComputerProceedings, Third Conference on Hypercube Concurrent Computers and Applications,Pasadena, CA (01 19–20, 1988) (in press).CrossRefGoogle Scholar
1.Iyengar, S.S., Jorgensen, C.C., Rao, S.V.N. and Weisbin, C.R., “Robot Navigation Algorithms Using Learned Spatial GraphsRobotica 4, No. 2, 93100 (1986).CrossRefGoogle Scholar
2.Spelt, P.P., deSaussure, G., Lyness, E., Pin, F.G. and Weisbin, C.R., “Learning by an Autonomous Robot at a Process Control Panel” IEEE Expert Article (in press).Google Scholar
3.Spelt, P.P., deSaussure, G., Lyness, E., Pin, F.G. and Weisbin, C.R., “Motor-Response Learning at a Process Control Panel by an Autonomous Robot” Submitted to the 5th International Conference on Machine Learning, Ann Arbor, Michigan, 06 15–21, 1988.Google Scholar
4.Rao, N.S.V., Iyengar, S.S. and Weisbin, C.R., “On Autonomous Terrain Model Acquisition by a Mobile Robot” JPL (NASA) Conference on Telerobotics 1, 283288 (1987).Google Scholar
1.Oblow, E.M., “O-Theory: A Hybrid Uncertainty Theory,” Intern. J. General Systems 13, 95 (1987).CrossRefGoogle Scholar
2.Oblow, E.M., “A Probabilistic-Propositional Framework for the O-Theory Intersection RuleIntern. J. General Systems 13, 187 (1987).CrossRefGoogle Scholar
3.Beckerman, M. and Oblow, E.M., “Treatment of Systematic Errors in the Processing of Wide Angle Sonar Sensor Data for Robotic Navigation” submitted to IEEE Journal of Robotics and Automation (1988).Google Scholar
4.Oblow, E.M., “Foundation of O-Theory: Measurements and Relation to Fuzzy Set Theory,” Intern. J. General Systems (05 1988) (in press).CrossRefGoogle Scholar
1.Barhen, J. and Palmer, J.F., “The Hypercube in Robotics and Machine IntelligenceComputers in Mechanical Engineering 4, No. 5, 3038 (1988).Google Scholar
2.Barhen, J., “Hypercube Ensembles: An Architecture for Intelligent Robots” Special Computer Architectures for Robotics and Automation Chap 8, 195236 (Gordon and Breach, New York, 1987).Google Scholar
3.Barhen, J. and Halbert, E.C., “ROSES: An Efficient Scheduler for Precedence-Constrained Tasks on Concurrent Multiprocessors” Hypercube Multiprocessors, 1986, SIAM Chap. 11, pp. 123148 (1986).Google Scholar
4.Jorgensen, C.C. and Matheus, C., “Catching Knowledge in Neural NetsAI Expert 1, No. 4, 3238 (1986).Google Scholar
5.Barhen, J., Toomarian, N. and Protopopescu, V., “Optimization of the Computational Load of a Hypercube Supercomputer Onboard a Mobile RobotApplied Optics, Special Issue on Neural Networks, 26, No. 23, 50075014 (1987).CrossRefGoogle ScholarPubMed
6.Barhen, J., Dress, W.B. and Jorgensen, C.C., “Applications of Concurrent Neuromorphic, Algorithms for Autonomous Robots” Proceedings, NATO Workshop, Germany, Chapter 6, pp. 321 (1988).CrossRefGoogle Scholar
1.Parker, L.E. and Pin, F.G., “A Methodology for Dynamic Task Allocation in a Man–Machine System” Second International Symposium on Methodologies for Intelligent Systems, Charlotte, NC, 10 14–17, 1987. Methodologies for Intelligent Systems pp. 488495 (1987).Google Scholar
2.Parker, L.E. and Pin, F.G., “Dynamic Task Allocation for Man–Machine Symbiotic System” Proceedings, Paper 14, Robotics Section, 1987 Goddard Conference on Space Allocation of Artificial Intelligence and Robotics, May 13–14, 1987, NASA/Goddard Space Flight Center, Greenbelt, Maryland (1987).Google Scholar
3.Parker, L.E. and Pin, F.G., “Architecture for Dynamic Task Allocation in a Man–Robot Symbiotic SystemProceedings 851, 95102, 1987 SPIE Cambridge Symposium, Advances in Intelligent Robot Systems, November 1–6, 1987, Cambridge, Massachusetts (1987).Google Scholar
1.Noakes, M.W. and Reister, D.B., “Design of an Obstacle Avoidance System for AIMS” CESAR-88/26, Cambridge Symposium on Advances in Intelligent Robotics Systems, Cambridge, Mass (11 6–11, 1988), (in press).Google Scholar
2.Herndon, J.N., Kring, C.T. and Rowe, J.C., “Advanced Remote Headling for Future Applications: The Advanced Integrated Maintenance SystemInternational Topical Meeting on Remote Systems and Robotics in Hostile Environments, Pasco, Washington, 1, pp. 622629 (03 29–04 2, 1987).Google Scholar
3.Kuban, O.P. and Noakes, M.W., “The Advanced Servo-manipulator System: Development Status and Preliminary Test Results” International Topical Meeting on Remote Systems and Robotics in Hostile Environments, Pasco, Washington, pp. 638642 (03 29–04 2, 1987).Google Scholar
4.Kring, C.T., Herndon, J.N., and Meacham, S.A., “Potential Applications of Advanced Remote Handling and Maintenance Technology to Future Waste Handling FacilitiesWaste Management '87 Symposium, Tuscon, AZ 2, 529534 (03 1–5, 1987).Google Scholar
5.Draper, J.V. et al. , “Effects of Force Reflection on Servomanipulator Task Performance” France/CEA USDOE/ORNL Specialists' Meeting on Remote Technology, Marseille, France, 02 19–24, 1987. Also presented at the International Topical Meeting on Remote Systems and Robotics in Hostile Environments, Pasco, Washington, pp. 654–660 (March 29–April 2, 1987).Google Scholar
6.Hamel, W.R., “Manipulators in TeleoperationAmerican Nuclear Society Conference on Remote Operations and Robotics in the Nuclear Industry,Pine Mountain, GA (loose-leaf note book, no page numbers) (04 21–24, 1985).Google Scholar
1.Einstein, J.R. and Barhen, J., “Virtual-Time Operating-System Functions for Robotics Applications on a Hypercube” Hypercube Multiprocessors '87, pp. 100107, SIAM, Philadelphia (1987).CrossRefGoogle Scholar
2.Einstein, J.R., Barhen, J. and Jefferson, E. (UCLA), “A Virtual-Time Operating System Shell for a Hypercube in Robotics Applications” Paper, SPIE Cambridge on Optical and Optoelectronic Engineering, Cambridge, Mass., 10 21–31, 1986. Proceedings 726, Society of Photo-Optical Instrumentation Engineers.Google Scholar
1.Weisbin, C.R., “Intelligent-Machine Research at CESARAI Magazine 8, 1 (1987).Google Scholar
2.Mann, R.C., Hamel, W.R. and Weisbin, C.R., “The Development of an Intelligent Nuclear Maintenance RobotProceedings 1, 621623 (1988) International Conference on Robotics and Automation, Philadelphia, PA, April 25–29, 1988.Google Scholar
3.Hamel, W.R., Babcock, S.M., Hall, M.C.G., Jorgensen, C.C., Killough, S.M. and Weisbin, C.R. “Autonomous Robots for Hazardous and Unstructured Environments” Proceedings, pp. 5.9–5.29, Robots-10 Conference, Chicago, IL (04 20–24, 1986).Google Scholar
4. Select Panel on Research Goals and Priorities in Intelligent Machines, Proceedings of a Workshop (11, 1984).Google Scholar
5. “Proceedings of a Workshop: Planning and Sensing for Autonomous Navigation” ORNL/TM-9923, Los Angeles, CA, August 17–18, 1985 (Edited by E.S. Howe and C.R. Weisbin) (02, 1986).Google Scholar