Noah J. Wheeler

Papers

1

Total Citations

2

H-Index

1

About

Noah J. Wheeler is a robotics researcher whose work bridges human-robot interaction and perceptual psychology, with a focus on how people interpret and evaluate robot capabilities. His most-cited paper, "Kinematics Affect People’s Judgments of a Wheeled Robot’s Ability to Climb a Stair" (2020), investigates how a robot’s physical design—specifically its wheeled kinematics—shapes human observers’ expectations of its mobility in challenging environments like stair climbing. This study, though early in its citation trajectory, contributes to a growing body of work on intuitive robot assessment, highlighting the gap between perceived and actual robot performance. Wheeler’s research is notable for its interdisciplinary approach, combining engineering principles with cognitive science to inform more transparent and trustworthy robot design. His findings have implications for autonomous navigation, assistive robotics, and user-centered design, where accurate human judgment of robot abilities is critical for safety and effective collaboration. As a researcher, Wheeler is positioned at the intersection of robotics and human factors, advancing our understanding of how kinematic cues influence social perception in human-robot interactions.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Kinematics Affect People’s Judgments of a Wheeled Robot’s Ability to Climb a Stair
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago