Robotics
Robotics

Robotics

Aeronautical and astronautical engineering Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) Human-computer interaction machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research Robotics Robots School of Engineering

A faster way to teach a robot

A new technique helps a nontechnical user understand why a robot failed, and then fine-tune it with minimal effort to perform a task effectively.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

AI helps household robots cut planning time in half

PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Research Robotics School of Engineering

AI helps household robots cut planning time in half

PIGINet leverages machine learning to streamline and enhance household robots’ task and motion planning, by assessing and filtering feasible solutions in complex environments.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Data Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Robotics School of Engineering

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.

Artificial Intelligence Community Computer science and technology Ethics Faculty Graduate, postdoctoral Innovation and Entrepreneurship (I&E) machine learning Policy Robotics School of Architecture and Planning Social entrepreneurship Social justice Students Technology and policy Technology and society Urban studies and planning

Defining the public interest in new technologies

New online journal seeks to seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Computer science and technology Drones Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Research Robotics Robots School of Engineering

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.

Algorithms Artificial Intelligence Autonomous vehicles Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Distributed Robotics Laboratory Drones Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Networks Neuroscience Research Robotics School of Engineering

Drones navigate unseen environments with liquid neural networks

MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning Manufacturing MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Robotics Robots School of Engineering Simulation

A four-legged robotic system for playing soccer on various terrains

“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.

AI Trends Insider AI Trends Insider on Autonomy Artificial Intelligence autonomous cars robot cars robot taxis Robotics Self Driving Cars

Novelty In The Game Of Go Provides Bright Insights For AI And Autonomous Vehicles 

By Lance Eliot, the AI Trends Insider   We already expect that humans to exhibit flashes of brilliance. It might not happen all the time, but the act itself is welcomed and not altogether disturbing when it occurs.    What about when Artificial Intelligence (AI) seems to display an act of novelty? Any such instance is bound to get our attention; […]

AI Trends Insider AI Trends Insider on Autonomy Artificial Intelligence autonomous cars robot cars robot taxis Robotics Self Driving Cars

Pursuit of Autonomous Cars May Pose Risk of AI Tapping Forbidden Knowledge

By Lance Eliot, the AI Trends Insider     Are there things that we must not know?    This is an age-old question. Some assert that there is the potential for knowledge that ought to not be known. In other words, there are ideas, concepts, or mental formulations that should we become aware of that knowledge it could be […]