We propose a framework to help the robotics community explore how automation impacts jobs that are considered dull, dirty, dangerous (DDD).
Resources
By Topic:
By Type:
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...
ICRA 2025 Publication Round-Up
The IEEE International Conference on Robotics and Automation (ICRA) will take place May 19 – 23, 2025 in Atlanta, Georgia. ICRA serves as the premier...
Pushing the Pace of Progress
The Robotics and AI Institute aims to accelerate robotics and artificial intelligence research by bringing together top talent and the best elements of industry and...
Distilling Diverse Vision Foundation Models to Improve Robot Learning
Introducing Theia, a vision foundation model for robotics developed by researchers at the Institute.
CoRL 2024 Publication Round-Up
The annual Conference on Robot Learning (CoRL) takes place this week, November 6-9 in Munich, Germany. Read on to learn more about our accepted publications.