Rhoda AI trains robot models using internet-scale video data
The Robot Report: How Rhoda AI is using video data to create generalized AI models for robots
Rhoda pretrains its models on internet-scale video to build a strong prior on motion, physics, and physical interaction. | Source: Rhoda AI Earlier this year, Rhoda AI emerged from 18 months of stealth with $450 million in Series A funding. The company is working with customers in automotive, manufacturing, logistics, and e-commerce to deploy its direct video action, or DVA, model for robotics. “We’re focused on deploying in the real world, and that means you have to deal with the messiness of t
A company is developing AI models for robots that learn from internet-scale video data rather than relying on robots manually collecting their own training data. The approach matters because previous methods of training robots on small datasets produced systems too brittle to work reliably in real-world conditions, whereas large diverse video datasets allow models to understand physics and motion across many different scenarios. The models work by analyzing video frames to predict what should happen next in a scene, then converting those predictions into robot actions that are executed and observed in a feedback loop. This video-based approach is designed to help robots generalize across different tasks and physical forms, with only a small amount of task-specific training needed after the initial broad training.
- Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model · SiliconANGLE
- Gemini Robotics 2.5 accelerates real-world general dexterity · Google DeepMind
- Can AI agents program industrial robots without training data? Berkeley says yes · The Robot Report
- All of today’s AI news, biggest first →
One short email a day with the stories that matter. Free. Unsubscribe with one click.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven
Google DeepMind releases new advanced robotics AI model and next-generation gene prediction model
Alphabet Inc.’s artificial intelligence research lab, Google DeepMind, Tuesday debuted the next generation of Gemini Robotics, the company’s most capable vision-language-action model to date for creating an “AI brain” for robotics. Separately, DeepMind announced AlphaGenome 2 today, a next-generation AI model that can predict how DNA sequences and their variations affect human cell types, creating […] The post Google DeepMind releases new advanced robotics AI model and next-generation gene
Also reported by MarkTechPost and The Decoder
Gemini Robotics 2.5 accelerates real-world general dexterity
Our most capable vision-language-action model enhances robot dexterity, reliability, and safety
Also reported by Ars Technica
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
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
Dynamic Creatures partners with Sixth Wall Studio to bring Hasbro characters to life with robots
On the left, Roberta Thomson, the CEO of Sixth Wall Studio, and on the right, Marc Theerman, co-founder and CEO of Dynamic Creatures. | Source: Dynamic Creatures Dynamic Creatures today said it has partnered with Sixth Wall Studio, an AI studio launched by Hasbro in June 2026. The collaborators plan to bring Hasbro characters to life through interactive robots. The company will combine its mobile, expressive robots with Sixth Wall‘s character authoring and alignment. The goal is to create