Benjamin Axelrod

iRobot (United States)

Papers

5

Total Citations

229

H-Index

5

About

Benjamin Axelrod’s research lies at the intersection of human-robot interaction (HRI) and autonomous manipulation, with a focus on how robots can navigate and communicate effectively in human-centered environments. His most influential work investigates how subtle social cues—such as a robot’s gaze direction and physical proximity—shape human perceptions of social presence and interpersonal attributions. In his highly cited 2013 study (162 citations), Axelrod demonstrated that even brief hallway encounters with a robot can trigger powerful social responses, laying groundwork for designing robots that feel like socially aware agents rather than mere tools. Beyond social signaling, he has tackled the practical challenge of autonomous door traversal, enabling mobile robots to open, pass through, and close doors—a critical capability for real-world deployment. His contributions to hand-eye calibration further advanced robotic grasping and manipulation, addressing the high-dimensional estimation problems that often hinder precision tasks. By bridging the gap between mechanical functionality and social intelligence, Axelrod’s work has informed the design of robots that are both competent and comfortable to interact with, making him a key figure in the push toward socially integrated robotics.

Research Focus

Key Achievements

5
H-Index
5
Papers
229
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Toward understanding social cues and signals in human–robot interaction: effects of robot gaze and proxemic behavior
162 citations · 2013
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: iRobot (United States)

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago