Christopher J. Tralie

Duke University

Papers

1

Total Citations

8

H-Index

1

About

Christopher J. Tralie is a researcher whose work bridges robotics, sensing, and signal processing, with a particular focus on leveraging radio frequency identification (RFID) for robotic manipulation. His most-cited paper, "In-hand radio frequency identification (RFID) for robotic manipulation" (2013, 8 citations), introduces a novel multi-antenna RFID reader embedded directly into a robot's manipulator. This sensor operates with ordinary UHF RFID tags in a short-range, near-field electromagnetic regime, using specially designed near-field antennas to extract spatial information. Tralie’s major contribution lies in enabling robots to perceive and interact with tagged objects more precisely during in-hand manipulation, a critical step toward more dexterous and autonomous robotic systems. His work has implications for manufacturing, logistics, and assistive robotics, where fine-grained object handling is essential. While his citation count reflects a focused, emerging area, the innovative integration of RFID sensing into robotic hardware marks a notable achievement, offering a practical, low-cost solution for enhancing robotic perception and control.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
In-hand radio frequency identification (RFID) for robotic manipulation
8 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Duke University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago