Nikita Jora
Papers
1
Total Citations
7
H-Index
1
About
Nikita Jora is a researcher in robotics and computational intelligence, with a primary focus on path planning and optimization algorithms. Her most-cited work, "Comparison between Different Meta-Heuristic Algorithms for Path Planning in Robotics" (2016), has garnered 7 citations and explores the application of bio-inspired techniques—particularly the bee colony optimization algorithm—to autonomous navigation. In this study, Jora demonstrates how self-evolving parameters can enhance path planning efficiency, offering a comparative analysis of meta-heuristic methods that has informed subsequent work in mobile robotics and swarm intelligence. Her contributions lie at the intersection of artificial intelligence and robotics, where she investigates how nature-inspired algorithms can solve complex spatial problems. While her citation count reflects a growing interest in her early findings, Jora’s work is notable for its practical approach to algorithm adaptation and its potential applications in real-world robotic systems. As a researcher, she continues to advance the field by refining optimization strategies that balance exploration and exploitation in dynamic environments, making her a promising voice in the development of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1