Results 241 to 250 of about 1,466,559 (298)

Planning by adaptation: experimental results

Proceedings of the 1994 IEEE International Conference on Robotics and Automation, 2002
A robot system operating in an environment in which there is uncertainty and change needs to combine the ability to react with the ability to plan ahead. In a previous paper we proposed a solution to the problems of integrating planning and reaction: cast planning as adaptation of a reactive system, the planner-reactor approach.
Damian M. Lyons, Antonius J. Hendriks
openaire   +1 more source

Experimentation‐Driven Knowledge Acquisition for Planning

Computational Intelligence, 1999
Knowledge engineering for planning is expensive and the resulting knowledge can be imperfect. To autonomously learn a plan operator definition from environmental feedback, our learning system WISER explores an instantiated literal space using a breadth‐first search technique.
Kang Soo Tae   +2 more
openaire   +1 more source

Planning an Experimental Network

2019
When planning a network of experiments, it is generally important to know how many experiments should be performed. However, it is often forgotten that it is just as important to know how to choose the environments in which the experiments will be performed.
David Makowski   +2 more
openaire   +1 more source

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