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{ "item_title" : "Advanced Sensing and Control Technologies for Autonomous Robots", "item_author" : [" Yuanlong Xie", "Shiqi Zheng", "Zhaozheng Hu "], "item_description" : "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.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/72/583/183/3725831831_b.jpg", "price_data" : { "retail_price" : "106.97", "online_price" : "106.97", "our_price" : "106.97", "club_price" : "106.97", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Sensing and Control Technologies for Autonomous Robots|Yuanlong Xie

Advanced Sensing and Control Technologies for Autonomous Robots

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Overview

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.

Details

  • ISBN-13: 9783725831838
  • ISBN-10: 3725831831
  • Publisher: Mdpi AG
  • Publish Date: March 2025
  • Dimensions: 9.61 x 6.69 x 1 inches
  • Shipping Weight: 2 pounds
  • Page Count: 320

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