Chandra Sekhar Gatla

University of New Mexico

Papers

3

Total Citations

106

H-Index

3

About

Chandra Sekhar Gatla is a leading figure in the field of robotic calibration and perception, with a primary focus on enhancing the precision of industrial robots and vision systems. His most significant contribution is the development of the **virtual closed kinematic chain (ViCKi) method**, a novel approach that circumvents the traditional limitations of end-effector measurement resolution. By magnifying errors on a distant plane, ViCKi dramatically improves the accuracy of robot kinematic models without requiring expensive, high-resolution measurement equipment. This foundational work, detailed in his highly cited 2007 paper (76 citations), has provided a practical and cost-effective solution for industrial automation. Gatla further advanced hand-eye coordination by introducing a method to calibrate pan-tilt cameras using just a single projected point (7 citations), simplifying complex multi-sensor setups. His research bridges the gap between theoretical kinematics and real-world robotic precision, offering accessible calibration techniques that have been widely recognized and adopted by the robotics community.

Research Focus

Key Achievements

3
H-Index
3
Papers
106
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
An Automated Method to Calibrate Industrial Robots Using a Virtual Closed Kinematic Chain
76 citations · 2007
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of New Mexico

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
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