Robotics
Robotics

Robotics

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

AI helps robots manipulate objects with their whole bodies

With a new technique, a robot can reason efficiently about moving objects using more than just its fingertips.

Algorithms Artificial Intelligence Cities Collaboration Global Human-computer interaction International initiatives Internet Of Things machine learning MIT Schwarzman College of Computing Research Robotics School of Architecture and Planning School of Engineering Singapore-MIT Alliance for Research and Technology (SMART) Soft robotics Sustainability Technology and society Urban studies and planning

SMART launches research group to advance AI, automation, and the future of work

Mens, Manus and Machina (M3S) will design technology, training programs, and institutions for successful human-machine collaboration.

Artificial Intelligence Autonomous vehicles Computer science and technology Data Drones IDSS Laboratory for Information and Decision Systems (LIDS) machine learning Mechanical engineering MIT Schwarzman College of Computing NASA Physics Research Robotics Robots School of Engineering

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.

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.