Meet the Oystamaran
Working directly with oyster farmers, MIT students are developing a robot that can flip heavy, floating bags of oysters, helping the shellfish to grow and stay healthy.
Working directly with oyster farmers, MIT students are developing a robot that can flip heavy, floating bags of oysters, helping the shellfish to grow and stay healthy.
“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.
Graduate student Lucy Du designs novel prosthetics and seeks to inspire others to pursue engineering.
A new AI-powered, virtual platform uses real-world physics to simulate a rich and interactive audio-visual environment, enabling human and robotic learning, training, and experimental studies.
Mechanical engineers are using cutting-edge computing techniques to re-imagine how the products, systems, and infrastructures we use are designed.
Model-free framework reorients over 2,000 diverse objects with a hand facing both upward and downward, in a step toward more human-like manipulation.
A new machine-learning system helps robots understand and perform certain social interactions.
Artificial intelligence is top-of-mind as Governor Baker, President Reif encourage students to “see yourself in STEM.”
A new control system, demonstrated using MIT’s robotic mini cheetah, enables four-legged robots to jump across uneven terrain in real-time.
Social robotics and artificial intelligence pioneer will oversee business units and help to guide innovative learning initiatives.
“Robotic” textiles could help performers and athletes train their breathing, and potentially help patients recovering from postsurgery breathing changes.
The transaction-based communications system ensures robot teams achieve their goal even if some robots are hacked.
This robotic arm fuses data from a camera and antenna to locate and retrieve items, even if they are buried under a pile.
PhD student Heng Yang is developing algorithms to help driverless vehicles quickly and accurately assess their surroundings.