Over the past decade, there has been a rapid increase in applications of multibody system
dynamics to the predictive simulation of human movement. Using predictive “what-if” human …

Learning from demonstration, or imitation learning, is the process of learning to act in an
environment from examples provided by a teacher. Inverse reinforcement learning (IRL) is a …

Ensuring human safety is one of the most important considerations within the field of human-
robot interaction (HRI). This does not simply involve preventing collisions between humans …

Product disassembly plays a crucial role in the recycling, remanufacturing, and reuse of end-
of-use (EoU) products. However, the current manual disassembly process is inefficient due …

Introducing mobile robots into the collaborative assembly process poses unique challenges
for ensuring efficient and safe human-robot interaction. Current human-robot work cells …

In this article, we propose FlexHRC+, a hierarchical human-robot cooperation architecture
designed to provide collaborative robots with an extended degree of autonomy when …

To enable safe and efficient human-robot collaboration in shared workspaces, it is important
for the robot to predict how a human will move when performing a task. While predicting …

Human motion prediction, especially arm prediction, is critical to facilitate safe and efficient
human-robot collaboration (HRC). This letter proposes a novel human motion prediction …

Robots need models of human behavior for both inferring human goals and preferences,
and predicting what people will do. A common model is the Boltzmann noisily-rational …

This paper focuses on human–robot collaboration in industrial manipulation tasks that take
place in a shared workspace. In this setting we wish to predict, as quickly as possible, the …