With a feel for physics, AI models simulate a wider range of real-world scenarios
“GeoPT” helps AI models understand the basics of physics so they can simulate how objects respond to things like wind and water more efficiently and accurately.
AI agents create virtual playgrounds to help robots get crucial training data
“SceneSmith” system uses collaborative AI agents to create realistic 3D environments of places like kitchens, hotels, and living rooms, where robots can simulate everyday chores.
Using generative AI to diversify virtual training grounds for robots
New tool from MIT CSAIL creates realistic virtual kitchens and living rooms where simulated robots can interact with models of real-world objects, scaling up training data for robot foundation models.
Helping robots handle fluids
Researchers create a new simulation tool for robots to manipulate complex fluids in a step toward helping them more effortlessly assist with daily tasks.
Open-source platform simulates wildlife for soft robotics designers
SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.
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.
Engaging enterprises with the climate crisis
John Sterman brings workshops with management flight simulators to businesses working toward environmental sustainability.
Desktop simulation of MIT.nano die bonder enables virtual tool training
Digital twins to expand training capabilities through virtual reality.
Researchers release open-source photorealistic simulator for autonomous driving
MIT scientists unveil the first open-source simulation engine capable of constructing realistic environments for deployable training and testing of autonomous vehicles.
Reviving war-game scholarship at MIT
MIT Center for International Studies and Security Studies Program offer new resources for modeling human behavior and decision-making in real-world scenarios.
Design course challenges students to solve real-world problems
In collaboration with industry representatives, Momentum students tackle wildfire suppression and search-and-rescue missions while building soft skills.
A system for designing and training intelligent soft robots
“Evolution Gym” is a large-scale benchmark for co-optimizing the design and control of soft robots that takes inspiration from nature and evolutionary processes.
Contact-aware robot design
A novel method to represent robotic manipulators helps optimize complex and organic shapes for future machines.
Creating “digital twins” at scale
Model could help predictive virtual models become standard practice in engineering.
Automating material-matching for movies and video games
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.