Abstract
A new framework is proposed for generating trajectories for robots. This `path planning by analogy' approach uses problems and solutions acquired from previous operator teaching or automatic path planning. Unlike traditional path-planning methods, users need not specify goals or prepare search heuristics. Instead, users specify the correspondence of objects in the task environment to those in a reference environment. `Path planning by analogy' reduces the amount of operator instruction and the computational cost of making a path, and can generate a trajectory close to the desired trajectory.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE International Conference on Robotics and Automation |
| Publisher | IEEE |
| Pages | 1436-1441 |
| Number of pages | 6 |
| Volume | 2 |
| Publication status | Published - 1997 |
| Event | Proceedings of the 1997 IEEE International Conference on Robotics and Automation, ICRA. Part 3 (of 4) - Albuquerque, NM, USA Duration: 1997 Apr 20 → 1997 Apr 25 |
Other
| Other | Proceedings of the 1997 IEEE International Conference on Robotics and Automation, ICRA. Part 3 (of 4) |
|---|---|
| City | Albuquerque, NM, USA |
| Period | 97/4/20 → 97/4/25 |
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ASJC Scopus subject areas
- Software
- Control and Systems Engineering
Cite this
Path planning by analogy. / Ogata, Hiroyuki; Mizukawa, Makoto.
Proceedings - IEEE International Conference on Robotics and Automation. Vol. 2 IEEE, 1997. p. 1436-1441.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Path planning by analogy
AU - Ogata, Hiroyuki
AU - Mizukawa, Makoto
PY - 1997
Y1 - 1997
N2 - A new framework is proposed for generating trajectories for robots. This `path planning by analogy' approach uses problems and solutions acquired from previous operator teaching or automatic path planning. Unlike traditional path-planning methods, users need not specify goals or prepare search heuristics. Instead, users specify the correspondence of objects in the task environment to those in a reference environment. `Path planning by analogy' reduces the amount of operator instruction and the computational cost of making a path, and can generate a trajectory close to the desired trajectory.
AB - A new framework is proposed for generating trajectories for robots. This `path planning by analogy' approach uses problems and solutions acquired from previous operator teaching or automatic path planning. Unlike traditional path-planning methods, users need not specify goals or prepare search heuristics. Instead, users specify the correspondence of objects in the task environment to those in a reference environment. `Path planning by analogy' reduces the amount of operator instruction and the computational cost of making a path, and can generate a trajectory close to the desired trajectory.
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UR - http://www.scopus.com/inward/citedby.url?scp=0030707325&partnerID=8YFLogxK
M3 - Conference contribution
VL - 2
SP - 1436
EP - 1441
BT - Proceedings - IEEE International Conference on Robotics and Automation
PB - IEEE
ER -