Vivek Pandey
Papers
1
Total Citations
2
H-Index
1
About
Vivek Pandey is an emerging researcher specializing in robotics, machine learning, and distributed systems, with a particular focus on the intersection of autonomous navigation and intelligent feature selection. His work addresses some of the most pressing challenges in multi-robot systems, where coordinated localization in unknown environments remains a computationally demanding problem. His most notable contribution, "Scalable Networked Feature Selection with Randomized Algorithm for Robot Navigation" (2024), tackles the complex problem of sparse visual feature selection for teams of robots operating collaboratively in unstructured environments. By leveraging randomized algorithms and networked communication between neighboring robots, Pandey's approach enables efficient sharing of relative position measurements while identifying the most informative visual cues for accurate localization — a breakthrough that balances computational scalability with real-world navigational precision. Though early in his research career with 2 citations on this work, Pandey's contributions signal a promising trajectory in a field with enormous practical implications, from autonomous vehicles to search-and-rescue robotics. His research bridges theoretical algorithmic design with applied robotics challenges, positioning him as a valuable voice in the growing community of distributed autonomous systems researchers.
Research Focus
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Top Papers
- 1