Kniha Sensing, Intelligence, Motion - How Robots and Humans Move in an Unstructured World Vladimir Lumelsky

Sensing, Intelligence, Motion - How Robots and Humans Move in an Unstructured World

Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele
Odesíláme za 9-15 dnů
4 445
This is a leap forward in the field of robotics. Until now, most of the advances in robotics have ta...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2005
Stránek
456
EAN
9780471707400
ISBN
0471707406
Enbook ID
04893206
Hmotnost
812
Rozměry
161 x 241 x 30

Kompletní popis

This is a leap forward in the field of robotics. Until now, most of the advances in robotics have taken place in structured environments. Scientists and engineers have designed highly sophisticated robots, but most are still only able to operate and move in predetermined, planned environments designed specifically for the robots and typically at very high cost. This new book takes robotics to the next level by setting forth the theory and techniques needed to achieve robotic motion in unstructured environments. The ability to move and operate in an arbitrary, unplanned environment will lead to automating a wide range of new robotic tasks, such as patient care, toxic site cleanup, and planetary exploration. The approach that opens the door for robots to handle unstructured tasks is known as Sensing - Intelligence - Motion (SIM), which draws from research in topology, computational complexity, control theory, and sensing hardware. Using SIM as an underlying foundation, the author's carefully structured presentation is designed to: formulate the challenges of sensor - based motion planning and then build a theoretical foundation for sensor - based motion planning strategies; investigate promising algorithmic strategies for mobile robots and robot arm manipulators, in both cases addressing motion planning for the whole robot body; and compare robot performance to human performance in sensor-based motion planning to gain better insight into the challenges of SIM and help build synergistic human-robot teams for tele-operation tasks. It is both exciting and encouraging to discover that robot performance decisively exceeds human performance in certain tasks requiring spatial reasoning, even when compared to trained operators. It presents review sensing hardware that is necessary to realize the SIM paradigm. Some 200 illustrations, graphic sketches, and photos are included to clarify key issues, develop and validate motion planning approaches, and demonstrate full systems in operation. As the first book fully devoted to robot motion planning in unstructured environments, "Sensing, Intelligence, Motion" is a must-read for engineers, scientists, and researchers involved in robotics. It will help them migrate robots from highly specialized applications in factories to widespread use in society where autonomous robot motion is needed.

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