Prasanta Ranjan Dhal
Papers
1
Total Citations
2
H-Index
1
About
Prasanta Ranjan Dhal is a robotics researcher whose work focuses on the safe and intelligent navigation of humanoid robots through complex, cluttered environments. His primary research areas include path planning, swarm intelligence optimization, and adaptive control systems for autonomous mobile robots. Dhal’s most notable contribution is the development of a novel navigation framework that integrates the Ant Lion Optimizer (ALO) with a Regression Analysis (RA) approach, enabling humanoid robots to dynamically avoid obstacles and traverse uneven terrain with enhanced stability and efficiency. This work, published in 2021, has garnered early attention with 2 citations, reflecting its emerging impact in the field of robotic locomotion. Dhal’s approach stands out for its bio-inspired optimization technique, which mimics the hunting behavior of antlions to fine-tune navigation parameters in real-time. His research addresses critical challenges in humanoid robotics, such as real-time decision-making and energy-efficient path selection, making it relevant for applications in disaster response, industrial automation, and assistive robotics. As a researcher, Dhal continues to push the boundaries of autonomous navigation, offering practical solutions for robots operating in unpredictable, human-centric spaces.
Research Focus
Key Achievements
Top Papers
- 1