ISSN:
1573-0409
Keywords:
path planning for robots
;
stochastic uncertainty
;
real-time computation
;
B-splines
;
neural networks
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
Notes:
Abstract The problem of adaptive trajectory planning for robots under stochastic uncertainty is considered, where new information about the robots and their environment is presented on-line. Solving the problem numerically by means of spline approximation and by applying the method of neural networks, the optimal control can be calculated in real-time. Some numerical results are presented.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1023/A:1007976516339
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