Pierre Brice Wieber

Pierre Brice Wieber

Chargé De Recherche @ Inria

About Pierre Brice Wieber

Pierre Brice Wieber is a Chargé de Recherche at INRIA in Grenoble, France, specializing in biped walking and balance control in robotics. He has a strong academic background, including a PhD in Robotics from Mines Paris and extensive collaboration with leading robotics companies.

Current Position at INRIA

Pierre Brice Wieber has held the position of Chargé de Recherche at INRIA since 2001. He works in Grenoble, France, contributing to advancements in robotics. His role involves research and development in areas related to robotic control and balance, particularly focusing on biped walking systems.

Educational Background

Pierre Brice Wieber has a robust educational background in engineering and robotics. He studied at École Polytechnique, where he earned a Master of Engineering (MEng) in Physics and Computer Science from 1993 to 1996. He further pursued studies at Pierre and Marie Curie University, obtaining a Master of Science (MSc) in Robotics from 1996 to 1997. He completed his PhD in Robotics at Mines Paris from 1997 to 2000.

Previous Experience at Imperial College

Before joining INRIA, Pierre Brice Wieber worked as a Post-Doctoral researcher at Imperial College in London, United Kingdom, for seven months in 2000 and 2001. This experience contributed to his expertise in robotics and control systems.

Research Specialization

Pierre Brice Wieber specializes in biped walking and balance control in robotics. His research focuses on developing algorithms that enable robots to maintain balance and avoid collisions. He has worked on walking and balance control algorithms specifically for Aldebaran's Nao and Pepper robots.

Collaborations in Robotics

Throughout his career, Pierre Brice Wieber has collaborated with several organizations, including Stäubli Robotics, Adept Technology, and Aldebaran Robotics. His work often involves mathematical modeling and control design in both industrial and humanoid robotics, addressing complex control objectives inspired by Isaac Asimov's three laws of robotics.

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