Travis Deyle
Georgia Institute of Technology, Duke University, Xidian University
Papers
18
Total Citations
531
H-Index
12
About
Travis Deyle is a robotics researcher whose work sits at a compelling intersection of assistive technology, human-robot interaction, and wireless sensing systems. Best known for his contributions to robot-assisted living for older adults and people with motor impairments, Deyle has helped lay the empirical groundwork for practical domestic robotics — including a foundational study identifying household objects that people with ALS most need robots to retrieve (63 citations), and influential investigations into medication management assistance for aging-in-place populations (47 citations). A distinctive thread throughout his research is the creative use of UHF RFID technology as a robotic sensing modality. His development of "RF vision" — generating spatial images from RFID signal strength to enable mobile manipulators to locate and grasp tagged objects — earned 53 citations and represents a genuinely novel perceptual approach. Complementary work on probabilistic tag pose estimation and RFID-guided navigation further established him as a leading voice in RF-augmented robotics (44 citations). Deyle also contributed early work on wireless power surfaces for robot swarms (42 citations) and practical locomotion systems for mobile manipulators. His 2012 robotics trends overview (47 citations) reflects his broader influence as a field communicator, making his profile equally valuable to practitioners and students charting the future of assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4Robotics Trends for 2012 [The Future Is Robots]47 citations · 2012
- 5Older adults' medication management in the home: How can robots help?47 citations · 2013
- 6RFID-Guided Robots for Pervasive Automation44 citations · 2010
- 7
- 8
- 9
- 10