Harsha Guda

Harsha Vardhan Guda is an ELLIS PhD student at the Institut de Robòtica i Informàtica Industrial (IRI), CSIC-UPC in Barcelona, where he has been a doctoral researcher since October 2024. He is best known for his work on compliance learning in bilateral teleoperation, including a 2026 paper proposing a method to make per-axis stiffness identifiable using four-channel teleoperation and joint-torque sensing. His broader research interests encompass robotic path planning algorithms, social robot interaction, and face recognition. Prior to his doctoral studies, he completed a Master of Science in Control, Robotics and Autonomous Systems at Aalto University and worked as a data scientist at Siemens Healthineers.