M. Burnett

Texas A&M University

Papers

1

Total Citations

5

H-Index

1

About

M. Burnett’s research centers on robotic sensor integration and kinematic calibration, with a particular focus on the precise registration of sensor-to-tool frames in dexterous robotic systems. Their most-cited work, “Experimentally registering position sensors” (2002, 5 citations), addresses a fundamental challenge in robotics: accurately determining the transformation between a sensor mounted on a robot’s end-effector and the tool itself. This problem is critical for both real-time feedback control and kinematic calibration, and Burnett’s contributions provide practical, experimentally validated solutions that have informed subsequent work in the field. While their citation count reflects a specialized niche, the impact of their methodology is evident in its application to improving robotic precision and reliability. Burnett’s work underscores the importance of rigorous experimental validation in robotics, offering a foundation for researchers tackling sensor-tool calibration in advanced manufacturing, surgical robotics, and autonomous systems. Their dedication to solving this core technical problem highlights a career focused on enabling more accurate and capable robotic platforms.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Experimentally registering position sensors
5 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Texas A&M University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago