Bruno Carrez

About

Bruno Carrez is a leading researcher in soft robotics, specializing in the modeling, simulation, and control of deformable, bio-inspired manipulators. His major contributions center on developing unified software frameworks and numerical tools that address the unique challenges of soft robots—such as complex kinematics, self-collisions, and real-time control—which traditional rigid robotics tools cannot handle. His most cited work, the "Software toolkit for modeling, simulation, and control of soft robots" (2017, 231 citations), provides a foundational platform that bridges theory and practice, enabling researchers to simulate and control soft robots with unprecedented accuracy. Carrez also pioneered the design and control of a deformable manipulator robot based on a compliant spine (2020, 66 citations), drawing inspiration from vertebrate anatomy to achieve dexterous, adaptive motion. His framework for online simulation with optimization-based inverse models (2016, 48 citations) and his work on real-time simulation handling self-collisions (2021, 42 citations) further demonstrate his impact, making soft robotics more practical and reliable. Through these achievements, Carrez has established himself as a key figure advancing the computational and control foundations of soft robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Software toolkit for modeling, simulation, and control of soft robots

   231 citations · 2017
2. 2
   Design, implementation, and control of a deformable manipulator robot based on a compliant spine

   66 citations · 2020
3. 3
   Framework for online simulation of soft robots with optimization-based inverse model

   48 citations · 2016
4. 4
   Real-Time Simulation for Control of Soft Robots With Self-Collisions Using Model Order Reduction for Contact Forces

   42 citations · 2021

Key Collaborators

Contact & Links