M. Krishnan

Papers

Total Citations

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About

M. Krishnan is a researcher whose work lies at the intersection of robotics education and autonomous vehicle navigation. Their most significant contribution is the development of a competition-driven capstone design course centered on the International Ground Robotics Competition (IGRC), a pedagogical innovation that has been cited 11 times and helped shape how engineering students engage with real-world autonomous systems. Krishnan has also made notable advances in multi-robot systems, proposing a method for merging occupancy grid maps using feature maps (9 citations) that addresses the critical challenge of integrating individual robot maps into a consistent global representation. Further extending their impact on autonomous driving, Krishnan developed a map-based lane identification and prediction algorithm (6 citations) that uses probabilistic and heuristic methods to help autonomous vehicles navigate obstacle-strewn, rugged roadways. This body of work demonstrates a consistent focus on bridging theoretical robotics with practical, deployable systems—from the classroom to the field. Krishnan’s research is particularly valuable for students and engineers seeking to understand how autonomous vehicles perceive and navigate complex environments, as well as how competition-based learning can accelerate innovation in robotics education.