Carnegie Mellon University
Zackory Erickson's research focuses on developing new robot learning, mobile manipulation, and sensing methods for physical human-robot interaction and healthcare. His work spans physical human-robot interaction, healthcare robotics, robot learning, physics simulation, multimodal perception, and mobile manipulation.
Within AI-CARING, Dr. Erickson is developing new in-home egocentric data capture techniques with AI for metadata analysis of this in-home data. His group is also developing activity prediction for assistive AI systems. Additionally, his research group has a number of active thrusts in physical human-robot interaction, robot learning, new gripper sensing, wearable interfaces, foundation models for physical interaction, and assistive and healthcare robotics.