Alejandro Guarneros-Sandoval
Papers
4
Total Citations
45
H-Index
3
About
Alejandro Guarneros-Sandoval is a leading researcher at the intersection of bioinspired robotics and advanced nonlinear control theory. His work focuses on developing robust control strategies for flexible, biologically-inspired robotic systems, particularly inchworm and worm-like mobile robots actuated by shape memory alloys (SMAs). His major contributions include the design of hybrid active disturbance rejection controllers (H-ADRC) that solve trajectory tracking problems for systems with partially unknown dynamics, as well as state-constrained adaptive controllers that ensure safe, stable gait cycles in multi-link robotic manipulators. His most cited work, "Active Disturbance Rejection Controller for a Flexible Walking Bioinspired Inchworm Mobile Robot Actuated With Shape Memory Alloy Devices" (2021, 23 citations), demonstrates the effectiveness of homogeneous extended state observers for flexible robotic devices. He has also pioneered adaptive barrier Lyapunov-based control for parallel robotic mechanisms, such as Stewart platforms used as ankle-controlled mobilizers, and has advanced the modeling and robust control of SMA-driven parallel robots. Guarneros-Sandoval’s research is notable for its seamless integration of material intelligence (SMAs) with sophisticated disturbance rejection and constraint-handling algorithms, paving the way for more resilient and adaptable soft robotic systems.
Research Focus
Key Achievements
Top Papers
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