Advanced Sensing and Control Technologies for Autonomous Robots
Language: English
Published by MDPI AG, 2025
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 124.64
Quantity: 2 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - This Reprint compiles cutting-edge research on sensor-driven autonomy and adaptive control strategies for robotic systems operating in dynamic industrial and unstructured environments. It highlights innovations in robust control architectures, such as model-free adaptive control and fault-tolerant MPC frameworks, alongside advancements in perception technologies such as NeoSLAM and TSG-SLAM for dynamic scene navigation. The Reprint's contributions emphasize the synergy of LiDAR-vision-inertial sensor fusion with intelligent decision-making algorithms such as SAC-LSTM path planning while exploring novel paradigms such as artificially empathetic swarm control. By bridging theoretical rigor with industrial implementation, this Reprint provides a vital resource for researchers and engineers advancing resilient robotic autonomy through adaptive control, real-time perception, and multi-agent coordination in logistics, construction, and human-robot collaboration. …
Seller Inventory # 9783725831838
- Title
- Advanced Sensing and Control Technologies for Autonomous Robots
- Publisher
- MDPI AG
- Publication year
- 2025
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 3725831831
- ISBN 13
- 9783725831838
- Item weight
- 1,000 grams
- Dimensions
- 250x175x25 mm
This Reprint compiles cutting-edge research on sensor-driven autonomy and adaptive control strategies for robotic systems operating in dynamic industrial and unstructured environments. It highlights innovations in robust control architectures, such as model-free adaptive control and fault-tolerant MPC frameworks, alongside advancements in perception technologies such as NeoSLAM and TSG-SLAM for dynamic scene navigation. The Reprint's contributions emphasize the synergy of LiDAR-vision-inertial sensor fusion with intelligent decision-making algorithms such as SAC-LSTM path planning while exploring novel paradigms such as artificially empathetic swarm control. By bridging theoretical rigor with industrial implementation, this Reprint provides a vital resource for researchers and engineers advancing resilient robotic autonomy through adaptive control, real-time perception, and multi-agent coordination in logistics, construction, and human-robot collaboration.
"Synopsis" may belong to another edition of this title.
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|---|---|---|
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