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To interact with humans, robots will possess a software architecture much more complete than current robots and be equipped with new functionalities. The purpose of this chapter is to introduce some necessary elements to build companion robots that interact physically with humans and particularly for the exchange of object tasks.
D. Sidobre +6 more
+9 more sources
Augmented Reality and Robotics: A Survey and Taxonomy for AR-enhanced Human-Robot Interaction and Robotic Interfaces [PDF]
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 enhance human-robot interaction (HRI) and robotic interfaces (e.g., actuated
R. Suzuki +4 more
semanticscholar +1 more source
Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Review [PDF]
Robotic vision, otherwise known as computer vision for robots, is a critical process for robots to collect and interpret detailed information related to human actions, goals, and preferences, enabling robots to provide more useful services to people ...
Nicole L. Robinson +4 more
semanticscholar +1 more source
Computer vision-based hand gesture recognition for human-robot interaction: a review
As robots have become more pervasive in our daily life, natural human-robot interaction (HRI) has had a positive impact on the development of robotics. Thus, there has been growing interest in the development of vision-based hand gesture recognition for ...
Jing Qi, Li Ma, Zhenchao Cui, Yushu Yu
semanticscholar +1 more source
Nonverbal Cues in Human–Robot Interaction: A Communication Studies Perspective [PDF]
Communication between people is characterized by a broad range of nonverbal cues. Transferring these cues into the design of robots and other artificial agents that interact with people may foster more natural, inviting, and accessible experiences.
Jacqueline Urakami, Katie Seaborn
semanticscholar +1 more source
The HRI research field has advanced from past one – two decades. HRI is still relates to be among young community which aims towards Trans disciplinary, inventive and take in charge of scientific developments. This paper gives consideration to the “viola and jones algorithm” which helps to detect the face in the field of ...
C, Pavithra +3 more
openaire +4 more sources
Recent advancements in multimodal human–robot interaction
Robotics have advanced significantly over the years, and human–robot interaction (HRI) is now playing an important role in delivering the best user experience, cutting down on laborious tasks, and raising public acceptance of robots.
Hang Su +5 more
semanticscholar +1 more source
Multimodal Human–Robot Interaction for Human‐Centric Smart Manufacturing: A Survey
Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal communication and control strategies are necessitated to guarantee a secure, efficient, and intelligent HRI experience.
Tian Wang +3 more
semanticscholar +1 more source
i-Sim2Real: Reinforcement Learning of Robotic Policies in Tight Human-Robot Interaction Loops [PDF]
Sim-to-real transfer is a powerful paradigm for robotic reinforcement learning. The ability to train policies in simulation enables safe exploration and large-scale data collection quickly at low cost.
Saminda Abeyruwan +8 more
semanticscholar +1 more source
The role of robots in society keeps expanding and diversifying, bringing with it a host of issues surrounding the relationship between robots and humans. This introduction to human–robot interaction (HRI) by leading researchers in this developing field is the first to provide a broad overview of the multidisciplinary topics central to modern HRI ...
Bartneck, Christoph +5 more
openaire +4 more sources

