Xavier Carrillo
Papers
1
Total Citations
4
H-Index
1
About
Xavier Carrillo is a researcher whose work lies at the intersection of robotics, system identification, and contact modeling. His most-cited paper, "System identification applied to contact modeling: An experimental investigation" (2013, 4 citations), addresses a fundamental challenge in robotics: enabling robots to adapt to diverse terrains by extracting contact properties during interaction. This contribution is pivotal for applications ranging from pick-and-place tasks to legged locomotion, where understanding environmental dynamics is key to adaptability. Carrillo’s research focuses on developing methods to infer contact characteristics—whether known beforehand or learned in real-time—enhancing robot autonomy and performance. Though his citation count is modest, his work is notable for its experimental rigor and practical relevance, bridging theory and application in robotic manipulation and locomotion. Carrillo’s insights continue to inform efforts in adaptive robotics, making his contributions valuable for students and researchers exploring how robots can better sense and respond to their physical surroundings.
Research Focus
Key Achievements
Top Papers
- 1