Chandran Nandkumar
National Institute of Technology Karnataka, Delft University of Technology
Papers
3
Total Citations
16
H-Index
2
About
Chandran Nandkumar is an emerging researcher specializing in robotics, human-robot interaction, and artificial intelligence, with a particular focus on autonomous navigation and conversational interfaces for real-world applications. His work bridges the gap between theoretical AI systems and practical deployment in everyday environments, making intelligent robotics more accessible and functional. Nandkumar's most recognized contribution, "Simulation of Indoor Localization and Navigation of Turtlebot 3 using Real Time Object Detection" (2021, 9 citations), demonstrates his ability to develop sophisticated robotic navigation systems that leverage object detection for spatial awareness — enabling robots to identify their surroundings through fixed environmental landmarks. This work reflects significant promise in autonomous indoor robotics. More recently, Nandkumar has turned his attention to large language model (LLM)-driven conversational interfaces, producing notable research on equitable, multi-level voice systems designed for supermarket robots. His 2024 and 2025 publications (accumulating 7 citations combined) tackle the challenge of handling diverse customer intents — from generic to highly specific queries — pushing toward more inclusive and adaptable human-robot communication. Though early in his career, Nandkumar's research trajectory signals a meaningful commitment to making autonomous systems smarter, more conversational, and genuinely useful in public-facing, real-world settings.
Research Focus
Key Achievements
Top Papers
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