Aanjaney Gupta
Papers
1
Total Citations
5
H-Index
1
About
Aanjaney Gupta is a researcher in robotics and optimization, focusing on humanoid robot motion control and bio-inspired algorithms. His most cited work introduces a novel sunflower optimization (SFO) algorithm for online motion control of an Aldebaran NAO humanoid robot within the V-REP software environment, demonstrating how orientation angles can be leveraged to enhance robotic agility and autonomy. This contribution, with 5 citations, marks a significant step in integrating nature-inspired computational methods with real-world robotic systems, offering a cost-effective and efficient approach to trajectory planning and obstacle avoidance. Gupta’s research bridges the gap between theoretical optimization and practical robotics, providing a foundation for adaptive control in complex environments. His work is particularly notable for its application to humanoid platforms, which are critical for human-robot interaction and assistive technologies. By pioneering the use of the SFO algorithm in this context, Gupta has opened new avenues for exploring swarm intelligence in robotics, making his research valuable for students and engineers seeking to advance autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1