Sebastiano Chiodini
Papers
11
Total Citations
167
H-Index
7
About
Sebastiano Chiodini is a robotics and measurement systems researcher whose work spans autonomous navigation, simultaneous localization and mapping (SLAM), and cyber-physical measurement systems (CPMS). He is perhaps best known for his rigorous comparative evaluations of stereo visual SLAM methods within ROS-compatible frameworks, with particular emphasis on planetary rover applications — work that has garnered over 80 citations and become a key reference for researchers deploying SLAM on resource-constrained hardware like the NVIDIA Jetson TX2. His contributions extend into sensor fusion, notably demonstrated through a system integrating LiDAR SLAM with thermal camera data to generate 3D radiometric maps, with compelling applications in rescue robotics and industrial monitoring. Chiodini has also made meaningful advances in the emerging field of cyber-physical measurement systems, exploring how Industry 4.0 enabling technologies — including soft growing robots — can transform traditional measurement and monitoring pipelines. Additional contributions include viewpoint selection strategies for rover pose estimation, semantic segmentation-based occupancy mapping, and user-friendly telerobotic control systems. Collectively, his research bridges precision measurement science with cutting-edge autonomous robotics, making him a distinctive voice at that interdisciplinary frontier.
Research Focus
Key Achievements
Top Papers
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- 43D Radiometric Mapping by Means of LiDAR SLAM and Thermal Camera Data Fusion13 citations · 2022
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- 7Camera Rig Extrinsic Calibration Using a Motion Capture System7 citations · 2018
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