Andrés Enríquez Cobo
Papers
1
Total Citations
9
H-Index
1
About
Andrés Enríquez Cobo is a researcher whose work lies at the intersection of robotics, control systems, and artificial intelligence, with a particular focus on humanoid robots. His most cited paper, "Inverse models and robust parametric-step neuro-control of a Humanoid Robot" (2016), has garnered 9 citations and exemplifies his core contributions: developing sophisticated neuro-control strategies that enable humanoid robots to achieve stable, adaptive locomotion. Enríquez Cobo’s approach integrates inverse dynamics models with robust parametric methods, allowing robots to navigate complex terrains and maintain balance under uncertainty—a critical challenge in humanoid robotics. His work advances the field by bridging theoretical control theory with practical, real-world applications, offering insights that are valuable for both roboticists and AI researchers. Beyond this key paper, his research portfolio explores the synergy between neural networks and robotic control, aiming to create more autonomous and resilient systems. Enríquez Cobo’s contributions are particularly relevant for students and engineers interested in the frontiers of bio-inspired robotics, where his methods provide a foundation for developing machines that move and adapt like humans.
Research Focus
Key Achievements
Top Papers
- 1