Sara Guerrero
Papers
2
Total Citations
13
H-Index
2
About
Dr. Sara Guerrero is a leading researcher at the intersection of robotics and artificial intelligence, specializing in the development of intelligent, anthropomorphic robotic hands. Her work focuses on two critical challenges: decoding human intent through bio-signals and enabling autonomous, dexterous manipulation. Guerrero’s most impactful contribution is the introduction of the **MuCBiT (Multi-Channel Bio-Signal Transformer)** architecture, a novel deep learning model for classifying surface electromyography (sEMG) signals. This work, published in 2023 and already garnering **10 citations**, represents a significant leap in myoelectric control, allowing for more intuitive and natural control of prosthetic and robotic hands. Building on this, her 2024 study presents a deep learning ensemble approach for autonomous object manipulation, integrating computer vision and grasp planning to empower a soft robotic hand to interact with unknown objects. By combining transformer-based signal processing with autonomous grasping, Guerrero is pioneering the next generation of seamless human-robot interaction, with direct applications in advanced prosthetics and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1Myo Transformer Signal Classification for an Anthropomorphic Robotic Hand10 citations · 2023
- 2