James Hobin

PTC (United States)

Papers

2

Total Citations

21

H-Index

2

About

James Hobin is a leading researcher at the intersection of human-robot interaction and spatial computing, with a primary focus on making robotic motion systems accessible through augmented reality (AR). His major contribution is the development of the "Kinetic AR" framework, a pioneering system that enables users to visually program and control robotic motion paths in co-located, real-world environments. By overlaying interactive, visual interfaces onto physical robots—such as the MIR100 Automated Guided Vehicle—Hobin’s work transforms complex robotic programming into an intuitive, visual experience. This approach significantly enhances human-robot collaboration on factory floors and in other industrial settings. His most-cited paper, "Kinetic AR: A Framework for Robotic Motion Systems in Spatial Computing" (2020), has garnered 17 citations, establishing a foundational guide for deploying AR in robotics. A related paper on the system’s application with the Reality Editor platform has also contributed to his growing influence. Hobin’s work is notable for bridging the gap between abstract robotic control and tangible, user-friendly interfaces, positioning him as a key innovator in spatial computing and collaborative robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Kinetic AR: A Framework for Robotic Motion Systems in Spatial Computing
17 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: PTC (United States)

Top Papers

  1. 1
  2. 2
    Kinetic AR
    4 citations · 2020

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago