Eurico Pedrosa
Papers
24
Total Citations
231
H-Index
8
About
Eurico Pedrosa is a leading researcher in robotics, with a focus on sensor calibration, human-robot interaction, and autonomous navigation. His most significant contributions lie in the development of the ATOM framework—a general, multi-modal, multi-sensor calibration system that solves hand–eye calibration for any number of cameras and sensors, including LiDAR. This work, published in top venues, has garnered over 36 citations for its foundational paper alone. Pedrosa’s research also extends to robust human-robot interaction for manufacturing, where he designed gesture-based systems to improve assembly task efficiency, and to efficient mobile robot localization using scan matching with continuous likelihood fields. His skill-based architectures for logistics and manipulation tasks were benchmarked in the EuRoC Challenge, demonstrating real-world impact. With over 150 total citations across his most-cited works, Pedrosa’s contributions are essential for advancing intelligent, multi-sensor robotic systems in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2ATOM: A general calibration framework for multi-modal, multi-sensor systems25 citations · 2022
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- 9A Skill-Based Architecture for Pick and Place Manipulation Tasks8 citations · 2015
- 10Magnetic Mapping for Robot Navigation in Indoor Environments8 citations · 2021