Name
Abstract | ||
|---|---|---|
Knowledge-based vision for robots needs a radi- cally new approach. The traditional approach has not made substantial progress for various reasons including the engineering problems of building sys- tems based on a hybrid on-line/off-line paradigm. A new situated agent approach is presented. The Constraint Net model of Zhang and Mackworth allows the designer to specify the robot's vision, control and motor systems uniformly as on-line systems. If the perceptual and control systems are designed as constraint-satisfying devices then the total robotic system, consisting of the robot symmetrically coupled to the environment, can be proven correct. Examples of this approach are given. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1109/ICIP.1996.561023 | ICIP (2) |
Keywords | Field | DocType |
knowledge base,control systems,satisfiability,control system,robot control,machine vision,design methodology,motor system,knowledge based systems | Situated,Computer vision,Robot control,Machine vision,Computer science,Knowledge-based systems,Design methods,Artificial intelligence,Control system,Robot,Perception | Conference |
Citations | PageRank | References |
4 | 0.45 | 3 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alan K. Mackworth | 1 | 2765 | 540.59 |