Dependency-Aware Deep Learning Framework for Articulated Assembly Motion Prediction. We introduce a model that predicts physically valid assembly motions by explicitly reasoning about part dependencies and kinematic constraints.
Empowering Precise Spatial Control for Image Generation with Constraints from a 3D Virtual Canvas. Allowing users to use coarse 3D proxies to guide the composition and layout of generative 2D images.
A handheld haptic device for realistic power tool feedback in VR-based manufacturing training. We model the physical torques and vibrations of real tools to provide immersive force feedback for training simulations.
