Siddhant Shete

Siddhant Shete is an experienced ML/DL Engineer specializing in terrestrial and space robotics at Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI) since April 2022, where a deep learning framework for real-time defect detection has been developed and deployed on mobile robots. Prior experience includes a Research Assistant role at the Institute for Fluid Power Drives and Systems, focusing on deep learning algorithms for condition monitoring, as well as a Master Thesis at Werkzeugmaschinenlabor, WZL der RWTH Aachen, which centered on anomaly detection for vision-based obstacle detection in automated vehicles. Earlier work at KUKA involved robotic simulation and collision avoidance strategies. Siddhant holds a Master of Science in Robotic Systems Engineering from RWTH Aachen University and a Bachelor's degree in Mechanical Engineering from Visvesvaraya Technological University.