Papers
3
Total Citations
42
H-Index
2
About
Carlos M. Travieso is a leading researcher in the fields of bipedal robotics and biometrics, with a particular focus on balance stability and locomotion control for legged systems. His most impactful work, "Contact-Dependent Balance Stability of Biped Robots" (33 citations), introduces a groundbreaking theoretical-algorithmic framework that defines balance stability boundaries for robots with multiple environmental contacts. This work provides comprehensive, univocal definitions of balance states for generic legged platforms, directly advancing the safety and reliability of humanoid robots. Travieso further extends this research with "Line Walking and Balancing for Legged Robots with Point Feet" (7 citations), presenting a novel controller that enables robots to traverse highly constrained environments—a challenge that most state-of-the-art balance controllers have not yet solved. In addition to his robotics contributions, Travieso has explored face verification techniques, developing a discriminative multi-projection vectors approach to address the small sample size problem common in biometric security systems. His work bridges theoretical foundations with practical robotic applications, making significant strides toward more agile and stable bipedal locomotion.
Research Focus
Key Achievements
Top Papers
- 1Contact-Dependent Balance Stability of Biped Robots33 citations · 2018
- 2Line Walking and Balancing for Legged Robots with Point Feet7 citations · 2020
- 3