Chanthini Baskar
Papers
4
Total Citations
38
H-Index
3
About
Chanthini Baskar is a robotics researcher whose work focuses on developing intelligent, reconfigurable robots for critical infrastructure maintenance, inspection, and disaster response. Her key research areas include deep learning-powered robotics, autonomous cleaning systems, and teleoperated surveillance platforms. Baskar’s most notable contribution is the “sTetro” robot, a deep learning-driven reconfigurable system designed specifically for staircase cleaning and maintenance—a task largely neglected by commercial cleaning robots. This work has garnered 21 citations, highlighting its significance in addressing a practical, high-demand challenge for multi-story buildings. She also developed the “Falcon” robot, a teleoperated reconfigurable platform for false ceiling inspection, capable of detecting structural defects, HVAC degradation, and pest infestation using deep learning frameworks, earning 9 citations. Additionally, Baskar has contributed to rescue and surveillance robotics, designing a cross-platform application-controlled robot for hazardous disaster environments, and a multipurpose adaptable robot that extends robotic applications from industrial to everyday life. Her work stands out for its practical impact on building safety and maintenance, bridging the gap between advanced robotics and real-world infrastructure needs.
Research Focus
Key Achievements
Top Papers
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- 4Multipurpose Adaptable Robot3 citations · 2022