Papers
12
Total Citations
222
H-Index
5
About
Vivian Suzano Medeiros is a robotics researcher whose work spans legged and wheeled-legged locomotion, trajectory optimization, and autonomous navigation. Best known for contributions to quadrupedal robot control, Medeiros has helped advance how robots move through complex, real-world environments by combining the agility of legs with the efficiency of wheels. Their 2020 paper on trajectory optimization for wheeled-legged quadrupedal robots navigating challenging terrain has garnered over 100 citations, establishing it as a foundational reference in the field. A follow-up in 2022 introduced an influential optimization-based framework blending offline motion libraries with online model predictive control, accumulating 76 citations and demonstrating the practical scalability of advanced locomotion skills. Beyond locomotion, Medeiros has made notable contributions to visual SLAM, addressing the persistent challenge of localization and mapping in dynamic and changing environments, including the development of Panoptic-SLAM, which leverages panoptic segmentation to handle unknown moving objects. More recent work explores collaborative carrying with passive-arm structures, novel hardware mechanisms for obstacle negotiation, and impedance control strategies for unsteady terrain. With a growing citation record and diverse portfolio, Medeiros represents an emerging voice shaping the future of versatile, intelligent mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Offline motion libraries and online MPC for advanced mobility skills76 citations · 2022
- 3
- 4Visual Localization and Mapping in Dynamic and Changing Environments9 citations · 2023
- 5
- 6Impedance Control Analysis for Legged Locomotion in Oscillating Ground5 citations · 2024
- 7
- 8Visual Localization and Mapping in Dynamic and Changing Environments3 citations · 2022
- 9
- 10