TML.STANFORD.EDU

The goal of our lab is to create coordinated, functional, and efficient whole-body movements for digital agents and for real robots to interact with the world. We focus on holistic motor behaviors that involve fusing multiple modalities of perception to produce intelligent and natural movements. Our lab is unique in that we study "motion intelligence" in the context of complex ecological environments, involving both high-level decision making and low-level physical execution. We developed computational approaches to modeling realistic human movements for Computer Graphics and Biomechanics applications, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The Movement Lab is directed by Professor Karen Liu... Developing personalized predictive human models to simulate human movements has a wide range of applications from accelerating sport medicine to designing exoskeletons to creating VR..