Cla Mattia Galliard

Papers

Total Citations

115

H-Index

About

Cla Mattia Galliard is a leading roboticist whose work sits at the intersection of locomotion control, optimization, and hardware design for legged and wheeled-legged systems. His most influential contribution is the development of a unified whole-body model predictive control (MPC) framework for wheeled-legged robots, as detailed in his highly cited 2021 paper (115 citations). This work broke new ground by formulating a single-task optimization that simultaneously plans wheel velocities and torso motions, integrating a kinodynamic model of a quadrupedal robot to enable seamless transitions between walking, driving, and dynamic maneuvers. Galliard’s approach eliminates the need for separate gait planners, allowing robots to autonomously sequence gaits in real time—a critical step toward practical, energy-efficient mobility on uneven terrain. His research has directly influenced the next generation of agile, hybrid robots, bridging the gap between static stability and high-speed locomotion. With over 115 citations on this flagship paper alone, Galliard’s contributions are shaping how researchers design controllers for versatile, real-world robotic platforms.