Vu Pham

Papers

Total Citations

113

H-Index

About

Vu Pham is a leading researcher in computer graphics and robotics, specializing in physics-based character animation and neural control systems. His work tackles the fundamental challenge of creating flexible, realistic humanoid controllers capable of performing complex whole-body tasks involving object interactions—a problem with far-reaching implications for animation, robotics, and motor neuroscience. Pham’s most influential contribution, the "Catch & Carry" framework (2020), has garnered 98 citations for its novel approach to reusable neural controllers that enable vision-guided, dynamic manipulation. This work demonstrates how characters can seamlessly transition between locomotion and object handling, bridging the gap between simulation and real-world applicability. An earlier iteration of this research (2019) further established his reputation in the field. By integrating physics-based simulation with deep reinforcement learning, Pham has advanced the state of the art in embodied AI, offering practical tools for game development, virtual reality, and humanoid robotics. His contributions are widely recognized for their technical rigor and potential to transform how we design autonomous agents that interact with their environment.