Scholar
Luca Carlone
Google Scholar ID: U4kKRdMAAAAJ
Associate Professor, Massachusetts Institute of Technology
Citations & Impact
Citations
16,438
H-index
53
i10-index
121
Publications
20
Co-authors
190
list available
Publications
Resume (English only)
Academic Achievements
- Outstanding Systems Paper Award for the paper 'Khronos: A Unified Approach for Spatio-Temporal Metric-Semantic SLAM in Dynamic Environments' at the Robotics: Science and Systems (RSS) conference, 2024; Research featured on Forbes, 2024; IEEE Transactions on Robotics King-Sun Fu Memorial Best Paper Award for the paper 'Kimera-Multi: Robust, Distributed, Dense Metric-Semantic SLAM for Multi-Robot Systems', 2023; Sloan Research Fellow, 2023; Best Paper Award Finalist at the IEEE/CVF Winter Conf. on Applications of Computer Vision (WACV), 2023; AIAA Associate Fellow, 2022; SPARK featured on MIT Spectrum, 2022; Listed among the top 2% most-cited authors across all scientific fields, 2022; AIAA Aeronautics and Astronautics Advising Award, 2022; Best Student Paper Award, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021.
Research Experience
- Works at the MIT SPARK Lab, conducting cutting-edge research in robotics and autonomous systems. The main focus is to enable human-level perception and understanding on mobile robotic platforms such as drones, self-driving vehicles, and ground robots.
Background
- Boeing Career Development Associate Professor in the Department of Aeronautics and Astronautics at MIT, and a Principal Investigator in the MIT Laboratory for Information & Decision Systems (LIDS). He is the director of the MIT SPARK Lab, where they work at the cutting edge of robotics and autonomous systems research. His goal is to enable human-level perception and world understanding on mobile robotics platforms (drones, self-driving vehicles, ground robots) operating in the real world. His research interests include nonlinear estimation and probabilistic inference, numerical and distributed optimization, and geometric computer vision applied to sensing, perception, and decision-making in single and multi-robot systems.
Miscellany
- Committed to promoting diversity, equity, and inclusion in his research group, courses, within the AeroAstro department, at MIT, and within his research communities.
