Harry Zhang

This study examines simulation's role in developing control policies for autonomous robots.

A new method enhances state estimation in robotics by improving handling of noise.

A learning approach for dynamic cable manipulation using a robot.

CHAMP improves 3D pose estimation using 2D keypoints from videos.

Combining TTS and real data enhances voice recognition systems effectively.

Adversarial training enhances keyword spotting accuracy in synthetic and real speech.

Researchers develop an adaptive system for estimating object shapes and positions from images.

CUPS teaches computers to recognize human movements through simple video footage.