Producing robust task plans in human-robot collaborative missions is a critical activity in order to increase the likelihood of these missions completing successfully. Despite the broad research body ...

This research aims to build a human following robot system based on a deep neural network algorithm in which a fuzzy controller controls the robot velocity and keeps the target person in the centre ...

Despite decades of progress, most robots are still programmed for specific, repetitive tasks. They struggle with the unexpected and can't adapt to new situations without painstaking reprogramming. But ...

Work with Boston Dynamics' humanoid Atlas robot shows off a new approach to learning complex new tasks using a human-watching AI model.

Humanoid robots raced and punched their way through three days of a multi-sport competition at the World Humanoid Robot Games, wrapping up Sunday in Beijing. The games featured more than 500 ...

Contribute to silent-learner/Line-Follower-Robot-using-Heptagon-and-Arduino development by creating an account on GitHub.

Researchers have developed a model for micro-sized robots that use sound waves to communicate, allowing them to self-organize into swarms with collective intelligence.

To effectively tackle a variety of real-world tasks, robots should be able to reliably grasp objects of different shapes, textures and sizes, without dropping them in undesired locations. Conventional ...

Autonomous robot that follows humans using YOLOv8 and depth sensing - Releases · audrlo/human-following-robot ...