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Aeronautical and astronautical engineering

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Developing and validating robust systems controlled by artificial intelligence in a systematic and adaptable manner.

Aeronautical and astronautical engineering, Algorithms, Artificial Intelligence, Autonomous vehicles, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drones, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, Networks, Research, Robotics, Robots, Safety, School of Engineering, UncategorizedJuly 18, 202446Views0Likes0Comments
Neural networks have been of immense benefit in the design of robot controllers, boosting the adaptive and effectiveness abilities of these machines. However, their complex nature makes it challenging to confirm their safe execution of assigned tasks. Traditionally, the verification of safety and stability are done using Lyapunov functions. If a Lyapunov function that consistently…

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Developing and confirming robust AI-operated systems using thorough and adaptable methods.

Aeronautical and astronautical engineering, Algorithms, Artificial Intelligence, Autonomous vehicles, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Drones, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, Networks, Research, Robotics, Robots, Safety, School of Engineering, UncategorizedJuly 18, 202439Views0Likes0Comments
Researchers from the Massachusetts Institute of Technology's (MIT) Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed an algorithm to mitigate the risks associated with using neural networks in robots. The complexity of neural network applications, while offering greater capability, also makes them unpredictable. Current safety and stability verification techniques, called Lyapunov functions, do not…

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MIT ARCLab declares the laureates of the first-ever Award for AI advancements in Space.

Aeronautical and astronautical engineering, Artificial Intelligence, Cleaner industry, Contests and academic competitions, Data, Lincoln Laboratory, Satellites, School of Engineering, Space exploration, Spaceflight, Sustainability, UncategorizedJuly 12, 202440Views0Likes0Comments
The number of satellites orbiting the Earth has grown exponentially in recent years, both due to lower costs and a rise in demand for services that satellites can provide, such as broadband internet and climate surveillance. However, this increase in activity also raises concerns around safety, security, and the environment, necessitating enhanced methods for monitoring…

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Designing domestic robots to possess a bit of general knowledge.

Aeronautical and astronautical engineering, Algorithms, Artificial Intelligence, Assistive technology, Computer modeling, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Human-computer interaction, Machine learning, Research, Robotics, Robots, School of Engineering, UncategorizedJune 21, 202428Views0Likes0Comments
As robots are increasingly being deployed for complex household tasks, engineers at MIT are trying to equip them with common-sense knowledge allowing them to swiftly adapt when faced with disruptions. A newly developed method by the researchers merges robot motion data and common-sense knowledge from extensive language models (LLMs). The new approach allows a robot to…

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A methodology for enhancing the efficiency of versatile robots.

Aeronautical and astronautical engineering, Artificial Intelligence, Brain and cognitive sciences, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Data, Electrical Engineering & Computer Science (eecs), Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, National Science Foundation (NSF), Research, Robotics, Robots, School of Engineering, UncategorizedJune 3, 202428Views0Likes0Comments
MIT researchers have developed a technique to train robots on multiple tasks by combining and optimising data from a variety of sources. At the core of their work is a type of generative AI known as a 'diffusion model', which learns from a specific dataset to complete a task. However, the particular innovation here lies…

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The Engineering Department extends a warm welcome to its latest professors.

Aeronautical and astronautical engineering, Artificial Intelligence, Biological engineering, Broad Institute, Chemical engineering, Civil and environmental engineering, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Computer vision, Cryptography, Data, DMSE, Economics, Electrical Engineering & Computer Science (eecs), Electronics, Environment, Faculty, Human-computer interaction, human-robot interaction, IDSS, Immunology, Laboratory for Information and Decision Systems (LIDS), Machine learning, Media Lab, Medicine, MIT Schwarzman College of Computing, Music, Music and theater arts, Research Laboratory of Electronics, Robotics, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, UncategorizedMay 24, 202442Views0Likes0Comments

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Enhanced safety in the sky through autonomous helicopters.

Aeronautical and astronautical engineering, Aircraft, Alumni/ae, Artificial Intelligence, Autonomous vehicles, Graduate, Innovation and Entrepreneurship (I&E), postdoctoral, School of Engineering, Startups, Transportation, Uncategorized, Venture Mentoring ServiceMay 22, 202439Views0Likes0Comments
In 2019 Haofeng "Hector" Xu, having a background in aerospace engineering and presently pursuing a PhD in MIT’s Department of Aeronautics and Astronautics, started learning to fly helicopters. The experience, fraught with risk, led him to consider how helicopter flight could be made safer. In 2021 Xu founded Rotor Technologies, an autonomous helicopter company focused…

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