Augmented reality and robotics: A survey and taxonomy for ar-enhanced human-robot interaction and robotic interfaces

R Suzuki, A Karim, T Xia, H Hedayati… - Proceedings of the 2022 …, 2022 - dl.acm.org
This paper contributes to a taxonomy of augmented reality and robotics based on a survey of
460 research papers. Augmented and mixed reality (AR/MR) have emerged as a new way to …

Trusting automation: Designing for responsivity and resilience

EK Chiou, JD Lee - Human factors, 2023 - journals.sagepub.com
Objective This paper reviews recent articles related to human trust in automation to guide
research and design for increasingly capable automation in complex work environments …

Evaluating quality in human-robot interaction: A systematic search and classification of performance and human-centered factors, measures and metrics towards an …

E Coronado, T Kiyokawa, GAG Ricardez… - Journal of Manufacturing …, 2022 - Elsevier
Industry 5.0 constitutes a change of paradigm where the increase of economic benefits
caused by a never-ending increment of production is no longer the only priority. Instead …

Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation

Z Fu, TZ Zhao, C Finn - arXiv preprint arXiv:2401.02117, 2024 - arxiv.org
Imitation learning from human demonstrations has shown impressive performance in
robotics. However, most results focus on table-top manipulation, lacking the mobility and …

Human–robot interaction in industrial collaborative robotics: a literature review of the decade 2008–2017

A Hentout, M Aouache, A Maoudj, I Akli - Advanced Robotics, 2019 - Taylor & Francis
Currently, a large number of industrial robots have been deployed to replace or assist
humans to perform various repetitive and dangerous manufacturing tasks. However, based …

Teleoperation of humanoid robots: A survey

K Darvish, L Penco, J Ramos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Teleoperation of humanoid robots enables the integration of the cognitive skills and domain
expertise of humans with the physical capabilities of humanoid robots. The operational …

Open problems in cooperative ai

A Dafoe, E Hughes, Y Bachrach, T Collins… - arXiv preprint arXiv …, 2020 - arxiv.org
Problems of cooperation--in which agents seek ways to jointly improve their welfare--are
ubiquitous and important. They can be found at scales ranging from our daily routines--such …

On the utility of learning about humans for human-ai coordination

M Carroll, R Shah, MK Ho, T Griffiths… - Advances in neural …, 2019 - proceedings.neurips.cc
While we would like agents that can coordinate with humans, current algorithms such as self-
play and population-based training create agents that can coordinate with themselves …

Explainable agents and robots: Results from a systematic literature review

S Anjomshoae, A Najjar, D Calvaresi… - … on Autonomous Agents …, 2019 - diva-portal.org
Humans are increasingly relying on complex systems that heavily adopts Artificial
Intelligence (AI) techniques. Such systems are employed in a growing number of domains …

Core challenges of social robot navigation: A survey

C Mavrogiannis, F Baldini, A Wang, D Zhao… - ACM Transactions on …, 2023 - dl.acm.org
Robot navigation in crowded public spaces is a complex task that requires addressing a
variety of engineering and human factors challenges. These challenges have motivated a …