Automatically converting demos into labeled datasets to enable the rapid training of task-specific object detectors that outperform existing state-of-the-art VLMs.
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ICRA 2026 Publication Round Up
We’ll be presenting robotic research that includes contact-rich bimanual manipulation and policy learning, an open source package for sample-based Model Predictive Control (MPC), how to...
Scaling Simulation Data Generation
How AnyTask and ExpertGen Bridge the Sim-to-Real Gap
Getting a Grip on Robotic Data Collection
Redesigning how we collect bespoke data for manipulation tasks.
What Makes a Job “Dull, Dirty, Dangerous?” Redefining Undesirable Work for Robotics
We propose a framework to help the robotics community explore how automation impacts jobs that are considered dull, dirty, dangerous (DDD).
AthenaZero: A Bimanual Robot for Dynamic Manipulation
AthenaZero is a robotic manipulator built to tackle dynamic tasks like a human arm. This fast, precise robot can switch in an instant from a...
The RAI Institute Robot Lab: Studying Human Attitudes Towards Robots Through Experience
How a hands-on “Drive-a-Spot” experience significantly increased participants’ comfort with and perceived suitability for robots.
RAI Institute 2025: A Year of Innovation for Robotics and AI
There’s a world where robots integrate seamlessly into our daily work, and eventually our cities and home lives. When the RAI Institute was founded in...
Combining Sampling and Learning for Dynamic Whole-Body Manipulation
Spot uses dynamic whole-body manipulation to autonomously upright, roll, drag, and stack 15kg car tires using an approach that combines reinforcement learning and sampling-based optimization
The ReLIC Framework: Advancing Robotics with Flexible Loco-Manipulation
New reinforcement learning approach enables robots to dynamically coordinate any combination of limbs for complex tasks
Designing Wheeled Robotic Systems for Ultra Mobility and Performance
Unlocking physical capabilities with artificial intelligence to build the next generation of machines.
Diffuse-CLoC: Bridging Physics and Control in Character Animation
Researchers at the RAI Institute have bridged the gap between kinematic motion diffusion models and physics-based control policies with a new guided diffusion framework called...