Italy

**31st IEEE International Conference on Robot & Human Interactive Communication**
 This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.
 
 The conference covers a wide range of topics related to Robot and Human Interactive Communication, involving theories, methodologies, technologies, empirical and experimental studies. Papers related to the study of robotic technology, psychology, cognitive science, artificial intelligence, human factors, ethics and policies, interaction-based robot design and other topics related to human-robot interaction are welcome.
 
 **CONFERENCE THEME:**
 Social, asocial, and antisocial robots
 
 Robots are starting to populate our lives: at work, in our homes, hotels, shops. However, not everybody is comfortable with robots finding a place in society. For example, people may be afraid that robots will replace humans in their jobs. This belief is exacerbated by the media that, on one side, raise expectations of robots’ capabilities, while amplifying fears and worries on the other side.
 
 In the next years, due to the increasing request for interaction with people in social environments, academic research and market analyses predict that robots will become more and more “social”. But, at the same time, robots may incur the risk of being perceived as “asocial” as their pervasiveness in everyday environments may become an obstacle to social interaction between humans. Or they may even be rejected as “antisocial” if researchers do not take care to develop robots that behave according to the customs and habits of the communities where they are expected to operate.
 
 To prevent this from happening, robotic researchers can no longer take the luxury of being mere technicians. They must be capable of addressing all the challenges raised by future robot-populated communities in a multidisciplinary way. They need to share their knowledge with the public to make people aware of what robots really are, what expectations we can have from them, the risks we may incur, and the possible mitigation plans.
 
 While being open to any kind of contribution related to Human-Robot Interactive Communication, the RO-MAN 2022 conference will emphasize these aspects of robotic research. How can we create robots capable of being welcomed as our assistants and companions in society while, at the same time, not being perceived as “asocial” or “antisocial?” How can we create robots perceived as facilitators of the natural development of human beings and communities, rather than obstacles?
 
 Contributions from different disciplines, not exclusively related to technological development, will be welcomed as crucial to pave the way to global acceptance of future robots with an informed attitude.
 
 [![](https://s3.eu-west-1.amazonaws.com/underline.prod/uploads/markdown_image/1/image/af259abe105b3791c498ae1552d75710.png)](https://drive.google.com/file/d/18w73BZPB_JVOgcrcdZDqYpEupwVt4CnU/view?usp=sharing)

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IEEE RO-MAN 2022 Conference

31st IEEE International Conference on Robot & Human Interactive Communication
This conference is a leading forum where state-of-the-art innovative results, the latest developments as well as future perspectives relating to robot and human interactive communication are presented and discussed.

Accurate detection of the human body and its limbs in
real-time is one of the challenges toward human-robot
collaboration (HRC) technology in the factory of the
future. In this work, a new algorithm has been developed to
fuse thermal, depth, and color information. Starting with
the calibration of the sensors to each other, proceeding
with data fusion and detection of human body parts, and
ending with pose estimation. The proposed approach has been
tested in various HRC scenarios. It has shown a significant
decrease in errors and noise in industrial environments.
Furthermore, it produces not only a higher positioning
accuracy of the head and hands compared to the state of art
algorithms (e.g., OpenPose), but it is also faster. Hence,
such an algorithm could be joined with digital twins for
safe and efficient human-robot collaboration

Use of a Human-Centered Manual Interaction Patterns Analysis Methodology for the Specification of Dexterous Robotic Grippers

technical paper

Android Robots Vs Virtual Agents: which system differently aged users prefer?

Second Language Learning through Storytelling with a Social Robot - An Online Case Study

Agents facilitate one category of human empathy through task difficulty

Benefits of an Interactive Robot Character in Immersive Puzzle Games

I Can’t Believe That Happened! Exploring Expressivity in Collaborative Storytelling with the Tabletop Robot Ha

A Social Robot for Anxiety Reduction via Deep Breathing

Step-by-Step Task Plan Explanations Beyond Causal Links

Robot Vulnerability and the Elicitation of User Empathy

Prototype Development of a Prosthetic Derivative of the Minimal Anthropomorphic Artificial Hand

Intuitive HRI Approach with reliable and resilient wireless communication for rescue robots and first responders

https://d3smihljt9218e.cloudfront.net/transcript/39960/subtitle/efedba47f96105253eb2d553a580b56d.vtt

English (automatic)

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Use of a Human-Centered Manual Interaction Patterns Analysis Methodology for the Specification of Dexterous Robotic Grippers

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