Human-robot interaction (HRI) in the real world often bars robots from key information on
which their decisions may hinge. Existing HRI planning methods either neglect the robot's …

Ensuring human safety without unnecessarily impacting task efficiency during human-robot
interactive manipulation tasks is a critical challenge. In this work, we formally define human …

Jointly achieving safety and efficiency in human-robot interaction settings is a challenging
problem, as the robot's planning objectives may be at odds with the human's own intent and …

It is becoming increasingly feasible for robots to share a workspace with humans. However,
for them to do so safely while maintaining agile performance, they need the ability to …

In manufacturing, the current trend-shift from mass-production to mass-personalization is
enabled, among others, by the emerging field of human-robot collaboration (HRC), in which …

Deep reinforcement learning (RL) has shown promising results in robot motion planning
with first attempts in human-robot collaboration (HRC). However, a fair comparison of RL …

Humans have a remarkable ability to fluently engage in joint collision avoidance in crowded
navigation tasks despite the complexities and uncertainties inherent in human behavior …

This paper proposes a motion planning strategy for a robot to safely interact with humans
exhibiting uncertain actions. The human actions are often encoded by the internal states that …

It is becoming increasingly feasible for robots to share a workspace with humans. However,
for them to do so robustly, they need to be able to smoothly handle the dynamism and …

Effective close-proximity human-robot interaction (CP-HRI) requires robots to be able to both
efficiently perform tasks as well as adapt to human behavior and preferences. However, this …