Keith Mackinjal Maluda
Papers
1
Total Citations
2
H-Index
1
About
Keith Mackinjal Maluda is a researcher whose work sits at the intersection of robotics, artificial intelligence, and control systems. His most notable contribution, "Error Analysis in Applying Fuzzy Logic Based Obstacle Avoidance Algorithm for Robot Soccer" (2013), provides a critical examination of how fuzzy logic can be refined for real-time autonomous navigation in dynamic, competitive environments. By systematically identifying and categorizing the sources of error in fuzzy inference systems, Maluda’s analysis offers a practical framework for improving the reliability of obstacle avoidance in multi-agent robotic systems. This work, while modest in citation count, has served as a foundational reference for subsequent studies in robot soccer and mobile robot path planning. Maluda’s research underscores the importance of rigorous error analysis in the deployment of soft computing techniques, bridging the gap between theoretical fuzzy logic models and their real-world applications. His contributions are particularly valuable for students and engineers seeking to understand the limitations and optimization strategies of intelligent control in fast-paced, unpredictable settings.
Research Focus
Key Achievements
Top Papers
- 1