Rishi Kumar Singh
Papers
1
Total Citations
14
H-Index
1
About
Rishi Kumar Singh is a researcher at the forefront of bio-inspired robotics and autonomous navigation, with a particular focus on developing adaptive systems for mobile robots operating in unknown environments. His most cited work, "A Hybrid Artificial Immune System for Mobile Robot Navigation in Unknown Environments" (2020, 14 citations), introduces a novel framework that mimics the human immune system's learning and memory capabilities to enable robots to navigate complex, unstructured spaces without prior maps. This contribution addresses a critical challenge in robotics—real-time path planning and obstacle avoidance—by combining immune-inspired algorithms with traditional control methods, offering a robust solution for search-and-rescue, exploration, and industrial automation. Singh's research bridges computational intelligence and practical robotics, demonstrating how biological principles can enhance machine autonomy. His work has garnered attention for its innovative approach to handling dynamic and unpredictable environments, laying groundwork for future studies in adaptive navigation. With a growing citation record, Singh is establishing himself as a key voice in the interdisciplinary field of artificial immune systems and mobile robotics, inspiring students and researchers to explore nature-inspired solutions for real-world engineering problems.
Research Focus
Key Achievements
Top Papers
- 1