Imitation Learning (IL), also referred to as Learning from Demonstration (LfD), holds
significant promise for capturing expert motor skills through efficient imitation, facilitating …

This article introduces a framework for complex human-robot collaboration tasks, such as
the co-manufacturing of furniture. For these tasks, it is essential to encode tasks from human …

Robots interacting with humans must be safe, reactive and adapt online to unforeseen
environmental and task changes. Achieving these requirements concurrently is a challenge …

Multi-agent path planning is a central challenge in areas such as robotics, autonomous
vehicles, and swarm intelligence. Traditional discrete methods often struggle with real-time …