
Advances in Automation and Robotics Research
Description
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This book comprises the proceedings of the V Latin American Congress on Automation and Robotics, held at Cusco, Perú, from November 10 to 12, 2025. The discipline of robotics is characterized by continuous and rapid advancement, and congress proceedings constitute an essential medium for the dissemination of novel research findings, technological developments, and innovative applications.
The book reflects the breadth and depth of contemporary inquiry in robotics and automation. They encompass theoretical foundations, methodological innovations, and applied perspectives, addressing topics such as kinematic and dynamic modeling, the formulation of control algorithms, the design and implementation of autonomous and robotic systems, teleoperation technologies, and computer vision. Furthermore, this book engages with emergent applications and delineates prospective challenges that shapes the trajectory of the field.
The scope of the book is intentionally broad, encompassing diverse domains of engineering, scientific research, and professional practice. The thematic coverage includes, but is not limited to:
- Industrial automation and robotcis
- Process control, modeling, and optimization
- Control theory and artificial intelligence
- Field and space robotics
- Aerial, terrestrial, and underwater robotic vehicles
- Kinematic and dynamic analysis of robotic systems
- Computer vision, mapping, and navigation
- Instrumentation, sensing, and sensor fusion
- Novel robot architectures and modular components
- Haptics, human-robot interaction, and interface design
- Simulation methodologies and experimental validation
- Multi-robot systems and embodied multi-agent systems
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Content
Force Guided Trajectory Learning Using Hidden Markov Models for Surgical Robotics Applications.- Hybrid Fuzzy PI control with Quantum Optimization simulation for single degree of freedom aquatic exoskeleton rehabilitation.- Space Applications of Multi Morphic Reconfigurable Robotic Systems.- Effect of Pick and Place Position Parameters on Robotic Handling of Raw Oysters.
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