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Novel Sensing for Robotics and Drones [Kõva köide]

  • Formaat: Hardback, 276 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, color; 18 Illustrations, black and white
  • Sari: Smart Sensors, Measurement and Instrumentation
  • Ilmumisaeg: 06-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032178037
  • ISBN-13: 9783032178039
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  • Formaat: Hardback, 276 pages, kõrgus x laius: 235x155 mm, 92 Illustrations, color; 18 Illustrations, black and white
  • Sari: Smart Sensors, Measurement and Instrumentation
  • Ilmumisaeg: 06-Jun-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032178037
  • ISBN-13: 9783032178039
This book explores the cutting-edge advancements in sensing technologies and their applications in robotics and drones. It provides a comprehensive platform for academicians, researchers, and developers to showcase their work on novel sensing methods, sensor integration, and AI/ML-enabled systems. By focusing on both theoretical advancements and practical applications, this book addresses the challenges and opportunities in the use of sensing technologies in robotics and autonomous systems. Through case studies, research findings, and emerging trends, the book offers valuable insights into the future of sensing technologies in robotics and drones, making it an essential resource for anyone looking to understand or contribute to this rapidly evolving field.
ModCAM Scalable Multi UAV System for Cooperative Aerial Manipulation.-
Tactile and Proximity Sensing for Robotic Applications.- Genes to Landscapes
Scalable Plant Asset and Weed Intelligence via Genotype and Remote Sensing.-
Advances in Vision and Depth Sensing for Robotics and Drones Emerging
Technologies and Applications.- Data Analytics for Ocean wave Prediction and
Vision based Underwater Sensing.- Socially Assistive Robots for people with
Neurodevelopmental Disabilities Promises and Pitfalls.- Machine Learning for
Sensor Data Processing in Autonomous Robotic and Drone Systems.- Synthesizing
Audio Visual Embeddings for Few Shot Classification with Limited Modalities
in Aerial Sensing.- Ant Inspired Decentralized Multi-Mobile Robot Algorithms
integrating Sensors and Camera From Modelling to Implementation.- Smart
Flexible and Printed Sensors for Robotics and Drones.- Enhancing Latent Space
with Self and Cross Attention in Multimodal Remote Sensing Image
Classification.- Sensor Driven Hexapod Robot with Terrain Classification for
Adaptive Gait Control and 2D Time of Flight Mapping.