Summary
Vignesh Raghavan is a robotics researcher and PhD-trained engineer with nine years of experience specializing in real-time autonomous navigation for humanoid and hybrid legged-wheeled robots. Currently a postdoctoral researcher at Istituto Italiano di Tecnologia in Genoa, he developed reconfigurable search-based planning algorithms that let robots adapt their footprint to squeeze through tight spaces and push aside obstacles obstructing planned paths. His background spans sensor fusion for human motion estimation, ROS-based real-time systems, and practical deployment on platforms like the CENTAURO robot and a robotic stroller, reflecting a strong bridge between academic research and applied robotics. Trained at TU Delft and the University of Pisa, he brings a systems-and-controls mindset to perception and planning, with hands-on experience in OpenCV, EKFs, and neural-network aided state estimation. An interesting facet of his work is combining geometric footprint adaptation with physics-aware obstacle manipulation—enabling robots to both plan around and actively clear their environment.
9 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Instrumentation and Control Engineering, 7.45/10, Bachelor's Degree, Instrumentation and Control Engineering, 7.45/10 at National Institute of Technology Tiruchirappalli
Master’s Degree, Systems and Control, Master’s Degree, Systems and Control at Delft University of Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at Università di Pisa
English, Hindi, Tamil