J. Hoblit

Linde (United States)

Papers

2

Total Citations

30

H-Index

2

About

J. Hoblit’s research focuses on the intersection of intelligent control systems and human-robot interaction for space applications. His most cited work, “Fuzzy logic based robotic arm control” (2002, 24 citations), investigates the feasibility of applying fuzzy logic to the Space Shuttle robotic arm, enabling functions like tracking, approach, and grapple with greater autonomy than traditional manual or semiautomatic modes. This early contribution laid groundwork for more adaptive control in space robotics. Hoblit later advanced astronaut-machine collaboration in “Virtual Reality for Enhanced 3D Astronaut Situational Awareness During Robotic Operations in Space” (2017, 6 citations), demonstrating how immersive VR can improve spatial understanding and precision during complex robotic tasks. Together, these works highlight his commitment to making space operations safer and more efficient through computational intelligence and enhanced user interfaces. Though his citation counts are modest, his pioneering focus on fuzzy logic for space robotics and VR-based situational awareness marks him as a thoughtful contributor to the evolving field of human-robotic spaceflight systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy logic based robotic arm control
24 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Linde (United States)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago