Rafael Traldi Moura
Papers
2
Total Citations
17
H-Index
2
About
Rafael Traldi Moura is a robotics researcher whose work bridges human biomechanics and bipedal locomotion. His primary research areas include human-robot interfaces, musculoskeletal modeling, and dynamic stability control for legged robots. Moura’s most cited work, "Elbow Joint Angle Estimation with Surface Electromyography Using Autoregressive Models" (2018, 15 citations), introduces a novel method for estimating joint angles from sEMG signals of the biceps, triceps, and brachioradialis. This contribution is critical for designing intuitive human-robot interfaces and advancing neuromuscular system modeling. In his more recent work, "Perturbation Rejection and Active Fall Recovery for Biped Robots Based on the Capture Point Dynamics" (2022), Moura tackles the challenge of maintaining balance in bipedal robots under external disturbances. By leveraging capture point dynamics, he develops strategies for active fall recovery, enhancing robot robustness in real-world environments. Though early in his career, Moura’s integration of biological signal processing with robotic control demonstrates a unique interdisciplinary approach, positioning him as a promising contributor to assistive robotics and autonomous locomotion systems.
Research Focus
Key Achievements
Top Papers
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