Zackory Erickson
Papers
37
Total Citations
597
H-Index
13
About
Zackory Erickson is a leading researcher in physically assistive robotics, with a focus on enabling robots to perform activities of daily living for individuals with motor impairments. His work centers on robot-assisted dressing and feeding, where he has pioneered methods for safe, adaptive human-robot collaboration. Erickson’s major contributions include developing multimodal execution monitors that detect anomalies during manipulation (87 citations), and creating TOORAD, a personalized planning system for robot-assisted dressing (62 citations). He has advanced force inference during dressing tasks, allowing robots to sense what a person feels (37 citations), and introduced capacitive proximity sensing for real-time human pose tracking (48 citations). His research also extends to haptic material recognition using generative adversarial networks (23 citations) and visual haptic reasoning for deformable objects (23 citations). Notably, Erickson’s recent work on VoicePilot (30 citations) harnesses large language models as speech interfaces for assistive robots, and his comprehensive review of robotic cloth manipulation (20 citations) has become a key reference. With over 400 total citations, Erickson’s innovations are shaping the future of safe, intelligent robotic assistance for people with disabilities.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Towards Assistive Feeding with a General-Purpose Mobile Manipulator33 citations · 2016
- 7
- 8
- 9
- 10Unfolding the Literature: A Review of Robotic Cloth Manipulation20 citations · 2024