Theory of mind: Mechanisms, methods, and new directions
Theory of Mind (ToM) has received significant research attention. Traditional ToM research
has provided important understanding of how humans reason about mental states by …
has provided important understanding of how humans reason about mental states by …
Collaborating with humans without human data
Collaborating with humans requires rapidly adapting to their individual strengths,
weaknesses, and preferences. Unfortunately, most standard multi-agent reinforcement …
weaknesses, and preferences. Unfortunately, most standard multi-agent reinforcement …
Extensive assessment and evaluation methodologies on assistive social robots for modelling human–robot interaction–A review
Assessment and evaluation methodologies as well as combinations of them, for modelling of
Human–Robot Interaction (HRI), are reviewed extensively and thoroughly in this paper …
Human–Robot Interaction (HRI), are reviewed extensively and thoroughly in this paper …
[PDF][PDF] Adaptive Coordination Strategies for Human-Robot Handovers.
Handovers of objects are critical interactions that frequently arise in physical collaborations.
In such interactions, humans naturally monitor the pace and workload of their partners and …
In such interactions, humans naturally monitor the pace and workload of their partners and …
Physical human–robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators
This article presents a state-of-the-art survey on the robotic systems, sensors, actuators, and
collaborative strategies for physical human-robot collaboration (pHRC). This article starts …
collaborative strategies for physical human-robot collaboration (pHRC). This article starts …
Learning collaborative impedance-based robot behaviors
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 …
humans to robots. However, a need is arising for robots that do not just replicate the task on …
A robot learning from demonstration framework to perform force-based manipulation tasks
This paper proposes an end-to-end learning from demonstration framework for teaching
force-based manipulation tasks to robots. The strengths of this work are manyfold. First, we …
force-based manipulation tasks to robots. The strengths of this work are manyfold. First, we …
Initiative in robot assistance during collaborative task execution
Collaborative robots are quickly gaining momentum in real-world settings. This has
motivated many new research questions in human-robot collaboration. In this paper, we …
motivated many new research questions in human-robot collaboration. In this paper, we …
Toward self-aware robots
Despite major progress in Robotics and AI, robots are still basically “zombies” repeatedly
achieving actions and tasks without understanding what they are doing. Deep-Learning AI …
achieving actions and tasks without understanding what they are doing. Deep-Learning AI …
Efficient human-robot collaboration: when should a robot take initiative?
The promise of robots assisting humans in everyday tasks has led to a variety of research
questions and challenges in human-robot collaboration. Here, we address the question of …
questions and challenges in human-robot collaboration. Here, we address the question of …