Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots: 2554 (Lecture Notes in Computer Science) - Tapa blanda

Beetz, Michael

 
9783540003359: Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots: 2554 (Lecture Notes in Computer Science)

Sinopsis

Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.

This book makes three major contributions to improving the capabilities of robotic agents:

 - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior

- second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans

- third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Robotic agents, such as autonomous office couriers or robot tourguides, must be both reliable and efficient. Thus, they have to flexibly interleave their tasks, exploit opportunities, quickly plan their course of action, and, if necessary, revise their intended activities.

This book makes three major contributions to improving the capabilities of robotic agents:

 - first, a plan representation method is introduced which allows for specifying flexible and reliable behavior

- second, probabilistic hybrid action models are presented as a realistic causal model for predicting the behavior generated by modern concurrent percept-driven robot plans

- third, the system XFRMLEARN capable of learning structured symbolic navigation plans is described in detail.

"Sobre este título" puede pertenecer a otra edición de este libro.

Otras ediciones populares con el mismo título

9783662195024: Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots

Edición Destacada

ISBN 10:  366219502X ISBN 13:  9783662195024
Editorial: Springer, 2014
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