Jagannathan Kanniah

Papers

Total Citations

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About

Jagannathan Kanniah is a pioneer in educational robotics and practical robot design, with a career dedicated to bridging engineering education and hands-on robotic applications. His foundational work, *Practical Robot Design; Game Playing Robots* (2014, 6 citations), serves as a comprehensive guide integrating robotics with game-based learning, highlighting his leadership in Singapore’s Robotic Games and global competitions. Kanniah’s research centers on bipedal locomotion, control systems, and intelligent robotic agents. His 2008 paper on ZMP-compliant gait generation for seven-mass biped robots (4 citations) introduced a novel computational technique for stable walking without a torso, advancing humanoid robotics. Earlier, his 2002 work on obstacle avoidance robots (3 citations) transformed industrial mobile platforms into educational tools, using retro-reflective mazes to teach autonomous navigation. In 2000, he explored reinforcement learning with fuzzy evaluative feedback (2 citations), pioneering adaptive control strategies. Though modest in citation counts, Kanniah’s impact lies in his hands-on, pedagogical approach—making complex robotics accessible to students and hobbyists. His legacy endures through his role in shaping robotics curricula and inspiring a generation of engineers through competition-driven learning.