Linga Reddy Cenkeramaddi
Papers
10
Total Citations
195
H-Index
6
About
Linga Reddy Cenkeramaddi is a researcher whose work spans computer vision, deep learning, and autonomous systems, with particular expertise in gesture recognition, sensor fusion, and robotics. He has made significant contributions to the field of human-computer interaction through his pioneering research on thermal image-based hand gesture and sign language recognition. His 2021 papers on deep CNN-based gesture recognition from thermal imagery garnered substantial attention, accumulating 70 and 62 citations respectively, demonstrating the community's strong interest in privacy-preserving, lighting-invariant alternatives to traditional RGB-based systems. His work highlights the practical value of these approaches across medical assistive technologies, industrial automation, and sign language translation. Beyond gesture recognition, Cenkeramaddi has extended his research into autonomous systems, including LiDAR-based bollard detection for maritime navigation, electric vehicle battery disassembly using point cloud segmentation, and mmWave radar-camera fusion for velocity estimation. His 2023 work on autonomous warehouse robotics and ongoing contributions to military AI and hardware-accelerated Kalman filtering reflect a broad and applied research vision. With over 195 total citations across his most recognized publications, Cenkeramaddi has established himself as a versatile contributor bridging perception, embedded systems, and intelligent automation.
Research Focus
Key Achievements
Top Papers
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- 2Robust Hand Gestures Recognition Using a Deep CNN and Thermal Images62 citations · 2021
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- 8Mobile Robotic Manipulator Based Autonomous Warehouse Operations4 citations · 2023
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