Summary
R Chavez-garcia is a robotics researcher with 11 years of experience specializing in multi-sensor stochastic methods for semantic perception and sensorimotor scene understanding. Based in Manno, Switzerland, he develops learning-driven representations that link sensor data with scene manipulation to enable active perception and self-aware robotic behaviors. His background spans probabilistic, credibilistic and evidential fusion, multi-target detection/tracking, and intelligent vehicle applications, built on strong C, C++, and Python implementation skills. He has led perception sub-projects in large European automotive consortia and contributed to long-term research programs at IDSIA and NCCR Robotics. Unusually for an academic researcher, he blends deep theoretical work in Bayesian and evidential frameworks with practical systems deployed in automotive and robotic prototypes. He holds a PhD in Robotics from Grenoble and a master鈥檚 in computer science with strengths in probabilistic graphical models, computer vision and NLP.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (Ph.D.), Mathematics and Computer Science - Robotics, Doctor of Philosophy (Ph.D.), Mathematics and Computer Science - Robotics at University of Grenoble1
Engineer, Computer Engineering, Engineer, Computer Engineering at Universidad Tecnol贸gica de la Mixteca
Master Degree in Computer Science, Probabilistic Graphic Models, Computer Vision, Natural Language Processing, Master Degree in Computer Science, Probabilistic Graphic Models, Computer Vision, Natural Language Processing at National Institute of Astrophysics, Optics and Electronics
English, French, Spanish