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Robot Intelligence Technology and Applications 8 : Results from the 11th International Conference on Robot Intelligence Technology and Applications, Volume 2 / edited by Anwar P.P. Abdul Majeed, Eng Hwa Yap, Pengcheng Liu, Xiaowei Huang, Anh Nguyen, Wei Chen, Ue-Hwan Kim.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Abdul Majeed, Anwar P. P.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1133
- Language:
- English
- Subjects (All):
- Automatic control.
- Robotics.
- Automation.
- Computational intelligence.
- Control, Robotics, Automation.
- Computational Intelligence.
- Local Subjects:
- Control, Robotics, Automation.
- Computational Intelligence.
- Robotics.
- Physical Description:
- 1 online resource (234 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- This book dives into the vanguard of robotics and AI with this scholarly edition, a compilation of pioneering research from the 11th International Conference on Robot Intelligence Technology and Applications (RiTA) Volume 2. This book focuses on ‘Machine Learning and AI Applications’, which elucidates the transformative power of contemporary AI across a multitude of domains, from medical diagnostics to natural language comprehension. This book uncovers innovative models, avant-garde training techniques and sophisticated interpretability methods that underscore the versatility and robustness of AI. This book is an indispensable asset for researchers and practitioners navigating the digital frontier.
- Contents:
- Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction
- A novel algorithm with an integrated model for the prediction of sudden trajectory behaviors
- Medical Waste Detection and Classification through Modern Methods and YOLO algorithms
- Failed Goal Aware Hindsight Experience Replay
- Enhancing Surgical Precision: Deep Learning-based Depth Estima-tion in Minimally Invasive Surgery with the MiDaS Model.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783031706875
- 3031706870
- OCLC:
- 1477225458
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