The Low-Energy Autonomy and Navigation (LEAN) is an interdisciplinary research group at the Massachusetts Institute of Technology (MIT), focusing on the co-design the algorithms and hardware for next-generation low-energy autonomous vehicles. These vehicles include the miniature robots, such as insect-size flyers, water striders, and chip-size satellites, as well as high-endurance vehicles that can operate months or years at a time, such as autonomous blimps, underwater gliders, soft robots, and printable robots. Autonomy capabilities for these vehicles will be unlocked by building their computers from the ground up, by co-designing the algorithms and hardware for autonomy and navigation. The LEAN research group has developed methods, algorithms and computing hardware for visual-inertial navigation, motion planning, mutual-information-based exploration, depth estimation, robot perception, and others. The research team is co-directed and co-advised by Professors Sertac Karaman and Vivienne Sze.
August 10, 2023
Peter receives the EECS Mathworks Fellowship for his research on memory-efficient computing algorithms and hardware for autonomy
September 24, 2022
Soumya’s paper on “Data Centers on Wheels: Emissions from Computing Onboard Autonomous Vehicles” has been accepted for publication in IEEE Micro's Special Issue on Environmentally Sustainable Computing
January 31, 2022
Soumya’s paper on “Uncertainty from Motion for DNN Monocular Depth Estimation” has been accepted for presentation at ICRA 2022
January 31, 2022
Peter’s paper on “Memory-Efficient Gaussian Fitting for Depth Images in Real Time” has been accepted for presentation at ICRA 2022
January 4, 2022
Soumya receives the 2021-22 Accenture Fellowship for her research on designing low-energy robotics for both consumer electronics and the aerospace industry
June 30, 2021
Keshav and Peter’s paper on “Efficient Computation of Map-scale Continuous Mutual Information on Chip in Real Time” has been accepted for presentation at IROS 2021
January 27, 2021
Soumya receives Best Presentation Award at the 2021 Microsystems Annual Research Conference (MARC) for her work on “Balancing Actuation Energy and Computing Energy in Motion Planning”
May 29, 2020
Congrats to all our students who were awarded degrees! Soumya & Peter got their SM degrees, Diana & Theia got their MEng degrees, and Keshav got his BS degree!
February 28, 2020
Zhengdong and Theia’s paper on "FSMI: Fast computation of Shannon Mutual Information for information-theoretic mapping" has been accept for publication in the International Journal of Robotics Research
January 31, 2020
Soumya receives Best Presentation Award in the Control Theory and Algorithms Session at the LIDS Student Conference 2020 for her talk on “Balancing Actuation Energy and Computing Energy in Motion Planning”
January 21, 2020
Theia’s paper on “An Efficient and Continuous Approach to Information-Theoretic Exploration” has been accepted for presentation at ICRA 2020.
January 21, 2020
Soumya’s paper on “Balancing Actuation and Computing Energy in Motion Planning” has been accepted for presentation at ICRA 2020.
October 16, 2019
Peter receives the Gold medal in the ACM Student Research Competition (SRC) at MICRO-52 for his work on “A Mutual Information Accelerator for Autonomous Robot Exploration”