Abhijeet Joshi

University of California, Los Angeles

Papers

1

Total Citations

19

H-Index

1

About

Dr. Abhijeet Joshi is a leading researcher in autonomous robotics, with a core focus on robotic path planning, sensor-limited navigation, and environment mapping. His seminal work, "Robotic Path Planning and Visibility with Limited Sensor Data" (2007, 19 citations), introduced a novel implementation of an Essentially Non-oscillatory (ENO) interpolation-based algorithm for environment discovery. This contribution is particularly significant for enabling robots equipped with only range sensors to map unknown surroundings and navigate effectively, addressing a fundamental challenge in field robotics. By demonstrating how sparse sensor data can be leveraged for robust spatial awareness, Dr. Joshi’s research has provided a practical foundation for autonomous systems operating in GPS-denied or unstructured environments. His work bridges theoretical mapping techniques with real-world robotic applications, influencing subsequent studies in visibility-based path planning. Dr. Joshi’s achievements underscore his commitment to advancing autonomous navigation, making his research essential reading for students and engineers developing intelligent, self-reliant robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Path Planning and Visibility with Limited Sensor Data
19 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: University of California, Los Angeles

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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