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A survey of robot learning strategies for human-robot collaboration in industrial settings
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 …
greater demand for manufacturers to be flexible with their products and services. This …
Core challenges of social robot navigation: A survey
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 …
variety of engineering and human factors challenges. These challenges have motivated a …
A survey of multi-agent human–robot interaction systems
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 …
specifically on systems containing more than two agents (ie, having multiple humans and/or …
Robots that use language
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 …
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 …
well-synchronized team. In recent years, researchers in human-robot collaboration have …
Object handovers: a review for robotics
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 …
collaborative joint action, where an agent, the giver, gives an object to another agent, the …
Human-robot teaming: grand challenges
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 …
extremely limited. We present challenges that, if addressed, will enable humans and robots …
Reinforcement learning approaches in social robotics
This article surveys reinforcement learning approaches in social robotics. Reinforcement
learning is a framework for decision-making problems in which an agent interacts through …
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
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 …
consider the impact of their actions on people and plan their behavior accordingly. However …
Control system design and methods for collaborative robots
Collaborative robots cooperate with humans to assist them in undertaking simple-to-
complex tasks in several fields, including industry, education, agriculture, healthcare …
complex tasks in several fields, including industry, education, agriculture, healthcare …