Arun Katkere

University of California San Diego

Papers

3

Total Citations

10

H-Index

3

About

Arun Katkere’s research focuses on autonomous mobile robotics, computer vision, and information assimilation, with a particular emphasis on enabling robots to navigate and perceive their environments using visual sensors. His major contributions lie in developing practical vision-based solutions for robot navigation and obstacle avoidance. In his most cited work, "Visual robot navigation using flat earth obstacle projection" (2002, 4 citations), Katkere addresses the challenge of obstacle avoidance by projecting obstacles onto a flat earth model, offering a computationally efficient alternative to traditional range-based methods. His earlier work, "Vision based object pose estimation for mobile robots" (1994, 3 citations), introduces a system for detecting and calculating the pose of man-made markers from camera images, enabling robots to use landmarks for localization and navigation. Additionally, his paper "A Framework for Information Assimilation" (1996, 3 citations) explores how robots can integrate and process sensory data for decision-making. While his citation counts are modest, Katkere’s work represents foundational steps in vision-based robotics, contributing to the development of cost-effective navigation systems that rely solely on visual input—a key area of ongoing research in autonomous systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
10
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Visual robot navigation using flat earth obstacle projection
4 citations · 2002
📈 Most Prolific Year: 2002 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of California San Diego

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago