As robotic devices are applied to problems beyond traditional manufacturing and industrial
settings, we find that interaction between robots and humans, especially physical interaction …

Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

Over the last two decades, the foundations for physical human–robot interaction (pHRI) have
evolved from successful developments in mechatronics, control, and planning, leading …

Since the strict separation of working spaces of humans and robots has experienced a
softening due to recent robotics research achievements, close interaction of humans and …

Research in learning from demonstration has focused on transferring movements from
humans to robots. However, a need is arising for robots that do not just replicate the task on …

Effective collaboration is based on online adaptation of one's own actions to the actions of
their partner. This article provides a principled formalism to address online adaptation in …

The human action is an important information source for human social interaction, and it
simultaneously plays a crucial role in human-robot interaction (HRI). For a natural and fluent …

We present a reinforcement learning based framework for human-centered collaborative
systems. The framework is proactive and balances the benefits of timely actions with the risk …

In this paper, a variable admittance controller based on reinforcement learning is proposed
for human-robot co-manipulation tasks. Setting as the goal of the reinforcement learning …

Robotic manipulation of highly deformable materials is inherently challenging due to the
need to maintain tension and the high dimensionality of the state of the material. Past work …