Papers
6
Total Citations
102
H-Index
4
About
Alberto San-Miguel is a leading researcher at the intersection of robotics, control systems, and sustainable automation. His work primarily focuses on robotic manipulation, fault-tolerant control, and the critical challenge of electric vehicle (EV) battery disassembly. San-Miguel’s most impactful contribution is his 2024 systematic literature review on the robotised disassembly of EV batteries, which has already garnered 62 citations, highlighting its importance as the world shifts toward electric mobility. He has also made significant advances in control theory, developing disturbance observer-based LPV feedback control for multi-degree-of-freedom robotic manipulators (20 citations), which enables robots to handle external forces and unmodelled dynamics with compliance. His 2019 work on fault-tolerant control for service robots, using a robust unknown input observer to estimate and counteract exogenous forces, has been cited 7 times and demonstrates his expertise in ensuring robot reliability. San-Miguel has also pioneered automated off-line generation of stable variable impedance controllers for human-robot collaboration (2022) and explored the sim-to-real gap in reinforcement learning for robotics (2024). His research on the Dyna-Q algorithm for multi-robot navigation (2018) further showcases his versatility. Through these contributions, San-Miguel is shaping the future of intelligent, resilient robotic systems for manufacturing, service, and sustainability applications.
Research Focus
Key Achievements
Top Papers
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- 5Sim-to-Real Gap in RL: Use Case with TIAGo and Isaac Sim/Gym4 citations · 2024
- 6Performance Evaluation of the Dyna-Q algorithm for Robot Navigation4 citations · 2018