Miriam Alvarado

Instituto Tecnológico de Querétaro, Tecnológico de Monterrey

Papers

Total Citations

H-Index

About

Dr. Miriam Alvarado is a leading researcher at the forefront of human-robot collaboration, specializing in the integration of deep learning and collaborative robotics for advanced manufacturing. Her primary research areas focus on developing intuitive, adaptable interaction systems that bridge the gap between human dexterity and robotic precision. Dr. Alvarado’s most significant contribution is her pioneering work on embedding deep learning models into collaborative robots (cobots) for complex assembly tasks, as detailed in her highly cited 2024 paper (24 citations). This work has been instrumental in enabling cobots to learn and adapt to dynamic assembly environments in real time. She further advanced the field by proposing a novel hand-tracking system for flexible human-robot interaction (2023), allowing for seamless, non-verbal communication between workers and machines. Her research directly addresses the manufacturing industry's demand for safer, more efficient, and user-friendly automation. With a growing citation impact, Dr. Alvarado’s work is shaping the next generation of smart factories, where humans and robots work side-by-side with unprecedented fluidity and safety.