
Reframe Systems raises $40M to scale its robotic microfactories for home building
Reframe Systems combines robotics, Pixels to Parts software, and a network of microfactories to build homes. | Source: Reframe Systems Reframe Systems, a robotics company using physical AI to industrialize home construction, today announced said it has raised $40 million. The company said the funding will help it scale its microfactory network across North America. Currently, the U.S. is short 4.5 million homes. Reframe said this problem stems from the construction industry’s fragmented na
Reframe Systems, a robotics company, raised $40 million in funding to expand its network of automated microfactories that construct homes using robotics and software. The company addresses a shortage of homes in the U.S. by building homes near communities in factories rather than through traditional on-site construction involving many subcontractors. The funding will support expansion of the microfactory network across North America, with the company aiming to deliver one million homes by 2040. Reframe has already completed 10 homes and plans to open a new factory designed to produce up to 500 multifamily units or 250 single-family homes annually.
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Can AI agents program industrial robots without training data? Berkeley says yes
The new RoboSimStudio is an open-source project that enables agentic AI coding of robotic simulation environments. | Credit: UC Berkeley UC Berkeley and NVIDIA have released open-source tools for a new approach: enabling teams of AI coding agents to write, simulate, and refine readable robot programs. Since the early days of industrial robots, programming, tuning, and troubleshooting robotic workcells has taken weeks to months. New research coming out of UC Berkeley has demonstrated that new age

Boston Dynamics adds wheels to Atlas humanoid to test whole-body control
Bridging the divide between deterministic physics-based control and policy-driven adaptation, Boston Dynamics has deployed a hybrid locomotion architecture on a wheeled variant of its Atlas humanoid. The “experiment” combined classical model-based motor control with whole-body reinforcement learning to maintain dynamic stability across unstructured, real-world terrain. In the video, Andy Wu, controls engineer for Atlas at Boston Dynamics, highlights some recent experiments that he

Practice Makes Precise: At CoRL, NVIDIA and Partners Reveal How Robots Rehearse Delicate Work in Simulation
Simulation, which has long been the proving ground for robots learning to walk, roll and hop, is now helping researchers teach robots tasks that require a finer touch: aligning gears, connecting cables and assembling small components. The shift from locomotion to manipulation is taking center stage at this week’s Conference on Robot Learning (CoRL) in Austin, Texas, alongside the rise of agentic robotics — a new paradigm that integrates frontier agents to create interpretable code for physical

Memories.ai builds standardized egocentric video pipeline
Memories.ai models label every clip: Memories-H0 for hand pose, EgoAction for action segments. | Credit: Memories.ai Memories.ai is building a data pipeline for robotics companies that combines standardized video collection with AI-powered annotation to turn everyday egocentric footage into training data for robots. The San Francisco-based company is developing software and AI to help robots understand the physical world. It builds video-understanding models and data infrastructure, and it colle