Ranjan Dasgupta
Papers
7
Total Citations
48
H-Index
4
About
Ranjan Dasgupta is a robotics researcher whose work centers on creating intelligent, multi-sensory robotic systems for real-world inspection, healthcare, and hazardous environment applications. His core research integrates human-like sensing, 3D perception, and cloud-based IoT to make robots more autonomous and context-aware. In his highly cited 2016 paper, "Human-Like Sensing for Robotic Remote Inspection and Analytics" (13 citations), Dasgupta advanced the concept of robots that can perceive and interpret environments similarly to humans, a critical step for remote inspection tasks. His 2015 work on a "next generation mobile robot with multi-mode sense of 3D perception" (12 citations) further demonstrated his contribution to building robust platforms for indoor deployment. Dasgupta also pioneered the use of the Kinect sensor for robotic audition (9 citations), enabling robots to localize and interpret sounds—a vital capability for search-and-rescue missions. His innovative 2016 paper on unifying robotics, sensors, and cloud computing through IoT for smarter healthcare (4 citations) showcases his vision for using robots in routine checks and epidemic response. More recently, he has explored Lévy flight-based probabilistic motion planning for UAVs navigating constricted environments (2022, 3 citations), pushing the boundaries of aerial inspection robotics. Through his work, Dasgupta has established himself as a key contributor to making robots more perceptive, mobile, and useful in critical civilian and medical applications.
Research Focus
Key Achievements
Top Papers
- 1Human-Like Sensing for Robotic Remote Inspection and Analytics13 citations · 2016
- 2A next generation mobile robot with multi-mode sense of 3D perception12 citations · 2015
- 3Robotics audition using Kinect9 citations · 2015
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- 7Design and development of an acoustic sensor array for anomaly detection2 citations · 2016