A survey of robot learning strategies for human-robot collaboration in industrial settings

D Mukherjee, K Gupta, LH Chang, H Najjaran - Robotics and Computer …, 2022 - Elsevier
Increased global competition has placed a premium on customer satisfaction, and there is a
greater demand for manufacturers to be flexible with their products and services. This …

Ai alignment: A comprehensive survey

J Ji, T Qiu, B Chen, B Zhang, H Lou, K Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
AI alignment aims to make AI systems behave in line with human intentions and values. As
AI systems grow more capable, the potential large-scale risks associated with misaligned AI …

An integrated mixed reality system for safety-aware human-robot collaboration using deep learning and digital twin generation

SH Choi, KB Park, DH Roh, JY Lee… - Robotics and Computer …, 2022 - Elsevier
For human-robot collaboration (HRC), one of the most practical methods to ensure human
safety with a vision-based system is establishing a minimum safe distance. This study …

Digital twins for collaborative robots: A case study in human-robot interaction

AA Malik, A Brem - Robotics and Computer-Integrated Manufacturing, 2021 - Elsevier
Human-robot collaboration (HRC) can expand the level of automation in areas that have
conventionally been difficult to automate such as assembly. However, the need of …

Human factors in cobot era: a review of modern production systems features

M Faccio, I Granata, A Menini, M Milanese… - Journal of Intelligent …, 2023 - Springer
Collaborative robots are increasingly common in modern production systems, since they
allow to merge the productivity of automated systems with the flexibility and dexterity of …

Towards proactive human–robot collaboration: A foreseeable cognitive manufacturing paradigm

S Li, R Wang, P Zheng, L Wang - Journal of Manufacturing Systems, 2021 - Elsevier
Human–robot collaboration (HRC) has attracted strong interests from researchers and
engineers for improved operational flexibility and efficiency towards mass personalization …

Human-centric artificial intelligence architecture for industry 5.0 applications

JM Rožanec, I Novalija, P Zajec, K Kenda… - … journal of production …, 2023 - Taylor & Francis
Human-centricity is the core value behind the evolution of manufacturing towards Industry
5.0. Nevertheless, there is a lack of architecture that considers safety, trustworthiness, and …

Omnisafe: An infrastructure for accelerating safe reinforcement learning research

J Ji, J Zhou, B Zhang, J Dai, X Pan, R Sun… - Journal of Machine …, 2024 - jmlr.org
AI systems empowered by reinforcement learning (RL) algorithms harbor the immense
potential to catalyze societal advancement, yet their deployment is often impeded by …

[HTML][HTML] Towards industrial robots as a service (IRaaS): Flexibility, usability, safety and business models

A Buerkle, W Eaton, A Al-Yacoub, M Zimmer… - Robotics and Computer …, 2023 - Elsevier
Industrial robots form an integral part of today's manufacturing industry, due to their high
versatility, precision, and fatigue proof nature. Yet, many small and medium sized …

Safety gymnasium: A unified safe reinforcement learning benchmark

J Ji, B Zhang, J Zhou, X Pan… - Advances in …, 2023 - proceedings.neurips.cc
Artificial intelligence (AI) systems possess significant potential to drive societal progress.
However, their deployment often faces obstacles due to substantial safety concerns. Safe …