Planning algorithm enables high-performance flight
With this new approach, a tailsitter aircraft, ideal for search-and-rescue missions, can plan and execute complex, high-speed acrobatic maneuvers.
Laboratory for Information and Decisions Systems (LIDS)
Artificial intelligence for augmentation and productivity
The MIT Schwarzman College of Computing awards seed grants to seven interdisciplinary projects exploring AI-augmented management.
The tenured engineers of 2023
Nine faculty members have been granted tenure in six units across MIT’s School of Engineering.
Professor Emeritus Sanjoy Mitter, expert in the theoretical foundations of systems, communication, and control, dies at 89
The former director of LIDS was a beloved professor who blended intellectual rigor with curiosity.
The curse of variety in transportation systems
Assistant Professor Cathy Wu is addressing traffic control problems by leveraging deep reinforcement learning.
A simpler method for learning to control a robot
Researchers develop a machine-learning technique that can efficiently learn to control a robot, leading to better performance with fewer data.
3 Questions: Honing robot perception and mapping
Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.
A step toward safe and reliable autopilots for flying
A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.
Exploring new methods for increasing safety and reliability of autonomous vehicles
A new study finds human supervisors have the potential to reduce barriers to deploying autonomous vehicles.
Three MIT-led projects awarded MURI funding for 2023
Through the Multidisciplinary University Research Initiative, the US Department of Defense supports research projects in areas of critical importance to national defense.
A better way to study ocean currents
A new machine-learning model makes more accurate predictions about ocean currents, which could help with tracking plastic pollution and oil spills, and aid in search and rescue.
The answer may be blowing in the wind
The MIT Energy Initiative’s Spring Symposium highlights the vast potential of offshore turbines in decarbonizing the grid.
Researchers create a tool for accurately simulating complex systems
The system they developed eliminates a source of bias in simulations, leading to improved algorithms that can boost the performance of applications.
Martin Wainwright named director of the Institute for Data, Systems, and Society
Widely recognized leader in statistics and machine learning to succeed Munther Dahleh.
An interdisciplinary approach to fighting climate change through clean energy solutions
Principal Research Scientist Audun Botterud tackles a range of cross-cutting problems — from energy market interactions to designing batteries — to get closer to a decarbonized power grid.