Stanford Ph.D. researcher Cheng Chi discusses the development of the UMI gripper and the use of diffusion AI models for robotics.
Stanford researchers aim to enhance robots with augmented motors
Researchers at Stanford have invented a way to augment electric motors to make them more efficient at performing dynamic movements.
Inexpensive lidar could help bring self-driving cars to market
Self-driving cars currently use expensive lidar sensors, but a cheaper chip could lead to more affordable autonomous vehicles.
5 takeaways from Day 2 of the Healthcare Robotics Engineering Forum
Robotic sensors, mobility, and manipulation are opening up new applications for healthcare robotics developers, said speakers at the inaugural Healthcare Robotics Engineering Forum.
Surgical robots in the spotlight at Healthcare Robotics Engineering Forum
Robot-assisted surgery, among other technologies, to be discussed by developers, industry leaders at Santa Clara event.
Carla Pugh to keynote Healthcare Robotics Engineering Forum
The director of Stanford University School of Medicine’s Technology Enabled Clinical Improvement Center will discuss how robotics can improve clinical outcomes at the international event for developers of healthcare robotics.
Stanford Doggo robot acrobatically traverses tough terrain
Stanford University students have created a quadruped robot to navigate difficult terrain, and they’ve made the designs and source code open-source.
Neural network helps autonomous car learn to handle the unknown
Researchers at Stanford University have developed a new way of controlling autonomous cars that integrates prior driving experiences – a system that will help the cars perform more safely in extreme and unknown circumstances. Tested at the limits of friction on a racetrack using Niki, Stanford’s autonomous Volkswagen GTI, and Shelley, Stanford’s autonomous Audi TTS,…