Abstract: Learning from demonstration (LfD) can be used to increase the behavioural repertoire of a robot, but most demonstration-based learning techniques do not enable a robot to acquire knowledge ...

Typically, in the autonomous driving industry, developers create massive black-box, end-to-end models for autonomy that require petabytes of data to learn driving physics from scratch. Helm.ai today ...

Abstract: The administration and monitoring of shared workspaces are crucial for seamlessly integrating robots to operate in close interactions with humans. Adaptive, versatile, and reliable robot ...

Deployment of robots into hazardous environments typically involves a “human–robot teaming” (HRT) paradigm, in which a human supervisor interacts with a remotely operating robot inside the hazardous ...

Effective task allocation has become a critical challenge for multi-robot systems operating in dynamic environments like search and rescue. Traditional methods, often based on static data and ...

Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience in software testing and automation. Rama Mallika Kadali is a QA Automation Test Lead with over 15 years of experience ...

Researchers at Northern Arizona University, or NAU, hope to enable a future where people with disabilities can walk on their own with the help of robotic legs. The university released an open-source ...

Korean researchers have created a new control framework that allows four-legged robots to perform parkour-like movements, enabling them to navigate complex environments independently. In tests, the ...

A new Duke-developed AI system fuses vision, vibrations, touch and its own body states to help robots understand and move through difficult in-the-wild environments. The wealth of information provided ...

It’s that time of the year again when talented automation professionals come to Helsinki, Finland, to share and to learn about the latest updates on Robot Framework and its ecosystem. The reason for ...