D. Chandrasekhar Rao
Papers
5
Total Citations
46
H-Index
3
About
D. Chandrasekhar Rao is a robotics researcher whose work focuses on cooperative navigation and path planning for multi-robot systems in complex, dynamic environments. His major contributions lie in developing bio-inspired and evolutionary algorithms—such as the Improved Krill Herd, Intelligent Water Drops, and Differential Evolution—to solve critical challenges like deadlock avoidance, obstacle detection, and trust-based coordination among multiple mobile robots. His most cited paper, "Hybrid IWD-DE: A Novel Approach to Model Cooperative Navigation Planning for Multi-robot in Unknown Dynamic Environment" (2019), has garnered 20 citations, demonstrating its influence in the field. Another notable work, "Cooperative Navigation Planning of Multiple Mobile Robots Using Improved Krill Herd" (2018), received 17 citations. Rao’s research addresses real-world applications where robots must work in parallel but with distinct objectives, advancing the reliability and efficiency of multi-robot systems in cluttered and unpredictable settings. His achievements highlight a sustained commitment to algorithmic innovation for autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5