Computer Vision and Sensor-Based RobotsThe goal ofthe symposium, "Computer Vision and Sensor-Based Robots," held at the General Motors Research Laboratories on September 2S and 26, 1978, was to stimulate a closer interaction between people working in diverse areas and to discuss fundamental issues related to vision and robotics. This book contains the papers and general discussions of that symposium, the 22nd in an annual series covering different technical disciplines that are timely and of interest to General Motors as well as the technical community at large. The subject of this symposium remains timely because the cost of computer vision hardware continues to drop and there is increasing use of robots in manufacturing applications. Current industrial applications of computer vision range from simple systems that measure or compare to sophisticated systems for part location determination and inspection. Almost all industrial robots today work with known parts in known posi tions, and we are just now beginning to see the emergence of programmable automa tion in which the robot can react to its environment when stimulated by visual and force-touch sensor inputs. As discussed in the symposium, future advances will depend largely on research now underway in several key areas. Development of vision systems that can meet industrial speed and resolution requirements with a sense of depth and color is a necessary step. |
Contents
2 | |
Human and Robot Task Performance | 23 |
Mechanisms of Perception | 51 |
Artificial Intelligence and | 69 |
Vision and Robot Systems | 79 |
An Industrial Eye that Recognizes Hole | 101 |
Adaptable Programmable Assembly Systems | 117 |
Programmable Universal Machine for Assembly | 141 |
ThreeDimensional Computer Vision | 187 |
Optical Computing for Image Processing | 207 |
Prospects for Industrial Vision | 239 |
Future Robot Systems | 261 |
75 | 270 |
Robot Assembly Research | 275 |
Future Prospects for SensorBased Robots | 323 |
Symposium Speakers and Chairmen | 335 |
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Common terms and phrases
algorithm analysis applications architectures array Artificial Intelligence assembly system assembly tasks automation belt binary camera capable chamfer Charles Stark Draper compliance computer vision Conf conveyor coordinate correlation cost degrees of freedom detection determined device elements end bell Engelberger errors example feedback feeder filter fixture force sensor Fourier transform function GM Research Laboratories gripper hardware hole human operator image processing image transducer industrial robots input insertion inspection intensity Interface light machine vision memory method Michigan minicomputer motion motion planning motor MOVE object optical optical correlation output pattern performance pixel plane position and orientation problem Proc processor production programmable assembly programmable system PUMA pump range data real-time recognition regions Research Laboratories Warren scene screw Sensory system shown in Fig SIGMA signal spatial speed SRI International station stereopsis surface techniques tion transducer Unimate vision system visual workpieces