5 days ago · A neural blueprint for human-like intelligence in soft robots An AI control system co-developed by SMART researchers enables soft robotic arms to learn a broad set of motions once …

May 13, 2025 · MIT engineers built E-BAR, a mobile robot designed to physically support the elderly and prevent them from falling as they move around their homes. E-BAR acts as a set of robotic …

Jul 24, 2025 · A vision-based control system called Neural Jacobian Fields enables soft and rigid robots to learn self-supervised motion control using only a monocular camera. The system, developed by …

Mar 26, 2026 · A new system increases throughput in automated warehouses by adaptively determining which robots should go first to avoid congestion and collisions. The work was led by researchers …

Dec 5, 2025 · Founded by MIT alumni, the Pickle Robot Company has developed robots that can autonomously load and unload trucks inside warehouses and logistic centers.

Oct 8, 2025 · MIT CSAIL's “Steerable Scene Generation” method helps create realistic, virtual training grounds to help robots practice physical tasks. It arranges 3D assets into digital kitchens, …

Oct 28, 2024 · Inspired by large language models, MIT researchers developed a training technique that pools diverse data to teach robots new skills.

Nov 30, 2020 · RoboGrammar is a new system that automates and optimizes robot design. The system, developed at MIT, creates arthropod-inspired robots for traversing a variety of terrains. It could …

Nov 19, 2024 · LucidSim is an AI-powered simulator that trained a robot dog to perform parkour using generated images without any real-world data. This approach, from MIT CSAIL researchers, scales …

Jun 3, 2024 · MIT researchers developed a technique to combine robotics training data across domains, modalities, and tasks using generative AI models. They create a combined strategy from several …