Rounak Adhikari
Papers
1
Total Citations
5
H-Index
1
About
Rounak Adhikari is a robotics researcher whose work focuses on bio-inspired optimization algorithms and humanoid robot motion control. His most-cited paper, "Orientation angle based online motion control of an Aldebaran NAO humanoid robot in V-REP software environment using novel sunflower optimization (SFO) algorithm" (2021), introduces a nature-inspired approach to solving complex robotic motion planning problems. By applying the sunflower optimization algorithm—a metaheuristic inspired by the heliotropic behavior of sunflowers—Adhikari demonstrates how orientation-based control can enable a NAO humanoid to navigate dynamic environments with greater efficiency and adaptability. This work, which has garnered 5 citations, represents a meaningful contribution to the intersection of swarm intelligence and humanoid robotics, offering a novel alternative to traditional control methods. Adhikari’s research is particularly relevant for students and engineers exploring how biological principles can enhance robotic autonomy, and his work continues to influence the development of more responsive and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1