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 …

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 …

A survey of multi-agent human–robot interaction systems

A Dahiya, AM Aroyo, K Dautenhahn… - Robotics and Autonomous …, 2023 - Elsevier
This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …

Robots that use language

S Tellex, N Gopalan, H Kress-Gazit… - Annual Review of …, 2020 - annualreviews.org
This article surveys the use of natural language in robotics from a robotics point of view. To
use human language, robots must map words to aspects of the physical world, mediated by …

Evaluating fluency in human–robot collaboration

G Hoffman - IEEE Transactions on Human-Machine Systems, 2019 - ieeexplore.ieee.org
Collaborative fluency is the coordinated meshing of joint activities between members of a
well-synchronized team. In recent years, researchers in human-robot collaboration have …

Object handovers: a review for robotics

V Ortenzi, A Cosgun, T Pardi, WP Chan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

Human-robot teaming: grand challenges

M Natarajan, E Seraj, B Altundas, R Paleja, S Ye… - Current Robotics …, 2023 - Springer
Abstract Purpose of Review Current real-world interaction between humans and robots is
extremely limited. We present challenges that, if addressed, will enable humans and robots …

Reinforcement learning approaches in social robotics

N Akalin, A Loutfi - Sensors, 2021 - mdpi.com
This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …

Large language models as zero-shot human models for human-robot interaction

B Zhang, H Soh - 2023 IEEE/RSJ International Conference on …, 2023 - ieeexplore.ieee.org
Human models play a crucial role in human-robot interaction (HRI), enabling robots to
consider the impact of their actions on people and plan their behavior accordingly. However …

Control system design and methods for collaborative robots

A Hameed, A Ordys, J Możaryn… - Applied Sciences, 2023 - mdpi.com
Collaborative robots cooperate with humans to assist them in undertaking simple-to-
complex tasks in several fields, including industry, education, agriculture, healthcare …