Theory of mind: Mechanisms, methods, and new directions

LJ Byom, B Mutlu - Frontiers in human neuroscience, 2013 - frontiersin.org
Theory of Mind (ToM) has received significant research attention. Traditional ToM research
has provided important understanding of how humans reason about mental states by …

Collaborating with humans without human data

DJ Strouse, K McKee, M Botvinick… - Advances in …, 2021 - proceedings.neurips.cc
Collaborating with humans requires rapidly adapting to their individual strengths,
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

DYY Sim, CK Loo - Information Sciences, 2015 - Elsevier
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 …

[PDF][PDF] Adaptive Coordination Strategies for Human-Robot Handovers.

CM Huang, M Cakmak, B Mutlu - Robotics: science and …, 2015 - m.roboticsproceedings.org
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 …

Physical human–robot collaboration: Robotic systems, learning methods, collaborative strategies, sensors, and actuators

UE Ogenyi, J Liu, C Yang, Z Ju… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
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 …

Learning collaborative impedance-based robot behaviors

L Rozo, S Calinon, D Caldwell, P Jiménez… - Proceedings of the AAAI …, 2013 - ojs.aaai.org
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 …

A robot learning from demonstration framework to perform force-based manipulation tasks

L Rozo, P Jiménez, C Torras - Intelligent service robotics, 2013 - Springer
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 …

Initiative in robot assistance during collaborative task execution

J Baraglia, M Cakmak, Y Nagai, R Rao… - 2016 11th ACM/IEEE …, 2016 - ieeexplore.ieee.org
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 …

Toward self-aware robots

R Chatila, E Renaudo, M Andries… - Frontiers in Robotics …, 2018 - frontiersin.org
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 …

Efficient human-robot collaboration: when should a robot take initiative?

J Baraglia, M Cakmak, Y Nagai… - … Journal of Robotics …, 2017 - journals.sagepub.com
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 …