Imaging technique removes the effect of water in underwater scenes
The color-correcting tool, known as “SeaSplat,” reveals more realistic colors of underwater features.
New tool evaluates progress in reinforcement learning
“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.
Special subject invites first-year students to get their feet wet working with underwater vehicles
2.S01 (Introduction to Autonomous Underwater Vehicles) creates a learning environment where every student handles a robot.
MIT engineers prepare to send three payloads to the moon
Data from the devices will help future astronauts navigate the moon’s south polar region and search for frozen water.
Engineers enable a drone to determine its position in the dark and indoors
A new low-power system using radio frequency waves takes a major step toward autonomous, indoor drone navigation.
MIT engineers help multirobot systems stay in the safety zone
New research could improve the safety of drone shows, warehouse robots, and self-driving cars.
Expanding robot perception
Associate Professor Luca Carlone is working to give robots a more human-like awareness of their environment.
Startup’s autonomous drones precisely track warehouse inventories
Corvus Robotics, founded by Mohammed Kabir ’21, is using drones that can navigate in GPS-denied environments to expedite inventory management.
Surface-based sonar system could rapidly map the ocean floor at high resolution
A small fleet of autonomous surface vessels forms a large sonar array for finding submerged objects.
Daniela Rus wins John Scott Award
MIT CSAIL director and EECS professor named a co-recipient of the honor for her robotics research, which has expanded our understanding of what a robot can be.
Building an understanding of how drivers interact with emerging vehicle technologies
The MIT Advanced Vehicle Technology Consortium provides data-driven insights into driver behavior, along with trust in AI and advanced vehicle technology.
Helping robots zero in on the objects that matter
A new method called Clio enables robots to quickly map a scene and identify the items they need to complete a given set of tasks.
Flying high to enable sustainable delivery, remote care
Drone company founders with MIT Advanced Study Program roots seek to bring aerial delivery to the mainstream.
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Researchers leverage shadows to model 3D scenes, including objects blocked from view
This technique could lead to safer autonomous vehicles, more efficient AR/VR headsets, or faster warehouse robots.