Archive 02.05.2024

With Tacton we wanted to give users the flexibility and configuration options they need to outfit their facility, while ensuring the system was reliable, secure, and easy to install.

Northwestern University engineers have developed a new artificial intelligence (AI) algorithm designed specifically for smart robotics. By helping robots rapidly and reliably learn complex skills, the new method could significantly improve the practicality—and safety—of robots for a range of applications, including self-driving cars, delivery drones, household assistants and automation.

Large language models (LLMs) are becoming increasingly useful for programming and robotics tasks, but for more complicated reasoning problems, the gap between these systems and humans looms large. Without the ability to learn new concepts like humans do, these systems fail to form good abstractions—essentially, high-level representations of complex concepts that skip less-important details—and thus sputter when asked to do more sophisticated tasks.

CART will learn from only a few examples in an interactive manner by actively prompting the caregiver for demonstration examples as the robot needs, and thereby not overly burdening the caregiver.

CART will learn from only a few examples in an interactive manner by actively prompting the caregiver for demonstration examples as the robot needs, and thereby not overly burdening the caregiver.

You wanna see her move? I think that's the fun part.

Robots have already proved to be promising tools to complete complex and demanding maintenance tasks. While engineers have developed a wide range of robots that could help to maintain and repair infrastructure, many of these robots need to be plugged into external power sources, which limits their real-world application.