By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.

Coauthors of a “Footwear Manifesto” report discuss survey findings that point to industry collaboration as a path to reducing waste in shoe manufacturing.

The low-cost FibeRobo, which is compatible with existing textile manufacturing techniques, could be used in adaptive performance wear or compression garments.

StructCode, developed by MIT CSAIL researchers, encodes machine-readable data in laser-cut objects by modifying their fabrication features.

J-WAFS awards 2023 Solutions Grants to bring two water-related innovations to the market.

Developed by MIT researchers, BrightMarkers are invisible fluorescent tags embedded in physical objects to enhance motion tracking, virtual reality, and object detection.

A new computational method facilitates the dense placement of objects inside a rigid container.

FlexBoard is a flexible breadboard that enables rapid prototyping of objects with interactive sensors, actuators, and displays on curved and deformable surfaces.

A collaborative research team from the MIT-Takeda Program combined physics and machine learning to characterize rough particle surfaces in pharmaceutical pills and powders.

SoftZoo is a soft robot co-design platform that can test optimal shapes and sizes for robotic performance in different environments.