The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Stanford Cart and the CMU Rover
Abstract
The Stanford Cart was a remotely controlled TV-equipped mobile robot. A computer program was written which drove the Cart through cluttered spaces, gaining its knowledge of the world entirely from images broadcast by an on-board TV system. The CMU Rover is a more capable, and neatly operational, robot being built to develop and extend the Stanford work and to explore new directions. The Cart used several kinds of stereopsis to locate objects around it in three dimensions and to deduce its own motion. It planned an obstacle-avoiding path to a desired destination on the basis of a model built with this information. The plan changed as the Cart perceived new obstacles on its journey. The system was reliable for short runs, but slow. The Cart moved 1 m every 10 to 15 min, in lurches. After rolling a meter it stopped, took some pictures, and thought about them for a long time. Then it planned a new path, executed a little of it, and paused again. It successfully drove the Cart through several 20-m courses (each taking about 5 h) complex enough to necessitate three or four avoiding swerves; it failed in other trials in revealing ways. The Rover system has been designed with maximum mechanical and control system flexibility to support a wide range of research in perception and control. It features an omnidirectional steering system, a dozen on-board processors for essential real-time tasks, and a large remote computer to be helped by a high-speed digitizing/data playback unit and a high-performance array processor. Distributed high-level control software similar in organization to the Hearsay II speech-understanding system and the beginnings of a vision library are being readied. By analogy with the evolution of natural intelligence, we believe that incrementally solving the control and perception problems of an autonomous mobile mechanism is one of the best ways of arriving at general artificial intelligence.
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Citations
Cites
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
Erman, L. D., Hayes-Roth, F., Lesser, V. R., & Reddy, D. R. (1980) · ACM Computing Surveys · doi:10.1145/356810.356816 · Cited by 1,357
Cited by
A robust layered control system for a mobile robot
Brooks, R. (1986) · IEEE Journal on Robotics and Automation · doi:10.1109/jra.1986.1087032 · Cited by 7,799
Brooks, R. A. (1991) · Science · doi:10.1126/science.253.5025.1227 · Cited by 752
Lumelsky, V. J., & Stepanov, A. A. (1987) · Algorithmica · doi:10.1007/bf01840369 · Cited by 699
AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges
Sapkota, R., Roumeliotis, K. I., & Karkee, M. (2026) · Information Fusion · doi:10.1016/j.inffus.2025.103599 · Cited by 671
An architecture for reflexive autonomous vehicle control
Payton, D. (1986) · Proceedings. 1986 IEEE International Conference on Robotics and Automation · doi:10.1109/robot.1986.1087458 · Cited by 200
Metadata
- Authors
- Moravec, H. P.
- Venue
- Proceedings of the IEEE
- Published
- 1983
- Volume
- 71
- Issue
- 7
- Pages
- 872-884
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W1502820991
- Cited by
- 309
- References
- 1
- FWCI
- 33.74
- Type
- journal article
- Language
- en
- Open access
- closed
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