K. Karibasappa
Papers
1
Total Citations
4
H-Index
1
About
K. Karibasappa is a researcher in robotics and artificial intelligence, with a primary focus on intelligent motion planning and autonomous navigation. His work addresses the challenge of enabling mobile robots to adapt their paths in real time when encountering semi-dynamic obstacles—a critical problem for real-world robotic systems. In his most cited paper, "MOTION PLANNING OF AN INTELLIGENT ROBOT USING GA MOTIVATED TEMPORAL ASSOCIATIVE MEMORY" (2005), Karibasappa introduced a novel approach that combines genetic algorithms with temporal associative memory. This method allows a robot to not only plan an optimal route but also store and recall successful path segments using a simple matrix, enabling efficient re-planning without starting from scratch. Although his citation count is modest, with 4 citations for this key work, his contribution lies in integrating evolutionary computation with memory-based learning for adaptive navigation. His research sits at the intersection of genetic algorithms, associative memory, and mobile robotics, offering a foundation for future work in intelligent, self-correcting robot motion.
Research Focus
Key Achievements
Top Papers
- 1