Intelligent agents such as robots are increasingly deployed in real-worl...
This paper introduces a novel state estimation framework for robots usin...
The ability to model the mental states of others is crucial to human soc...
Transfer learning can be applied in deep reinforcement learning to accel...
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
Multi-agent robotic systems are increasingly operating in real-world
env...
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
We introduce an imitation learning-based physical human-robot interactio...
Action advising is a knowledge transfer technique for reinforcement lear...
We present Model-Predictive Interaction Primitives – a robot learning
fr...
Imitation learning is a popular approach for teaching motor skills to ro...
This paper presents a learning-from-demonstration (LfD) framework for
te...
In this work we propose a novel end-to-end imitation learning approach w...
A hug is a tight embrace and an expression of warmth, sympathy and
camar...
Musculoskeletal robots that are based on pneumatic actuation have a vari...
Human-robot interaction benefits greatly from multimodal sensor inputs a...