Wagner Tanaka Botelho
Papers
11
Total Citations
69
H-Index
4
About
Wagner Tanaka Botelho is a leading researcher in the field of mobile robotics, with a focus on hybrid locomotion systems, multi-robot coordination, and autonomous navigation. His most influential work centers on the design and motion analysis of the hybrid robot PEOPLER-II, a groundbreaking platform capable of seamlessly switching between leg-type and wheel-type locomotion. This innovation, detailed in his highly cited 2009 paper (31 citations), addresses the critical challenge of enabling robots to adapt to diverse terrains, from flat surfaces to slopes, by analyzing the energy costs and control strategies for smooth mode transitions. Botelho’s contributions extend to multi-robot systems (MRS) and multi-agent systems (MAS), where he advocates for an interdisciplinary integration to enhance cooperative task performance, as seen in his 2020 work (10 citations). He has also advanced trajectory estimation for skid-steering robots (8 citations) and decentralized approaches for tracking and surrounding stationary targets (3 citations). More recently, his 2023 paper on loop closure detection in visual SLAM using convolutional neural networks (4 citations) underscores his commitment to integrating deep learning with robotics. Through his research, Botelho has significantly impacted the development of versatile, energy-efficient robots for real-world applications, inspiring students and researchers to explore the frontiers of autonomous systems.
Research Focus
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