Safety bounds in human robot interaction: A survey

In the era of industrialization and automation, safety is a critical factor that should be considered during the design and realization of each new system that targets operation in close collaboration with humans.

Of such systems are considered personal and professional service robots which collaborate and interact with humans in diverse applications environments.

 In this collaboration, human safety is an important factor in the wider field of human-robot interaction (HRI) since it facilitates their harmonic coexistence.

The paper at hand aims to systemize the recent literature by describing the required levels of safety during human-robot interaction, focusing on the core functions of the collaborative robots when performing specific processes.

It is also oriented towards the existing methods for psychological safety during human-robot collaboration and its impact on the robot behavior, while also discusses in depth the psychological parameters of robots incorporation in industrial and social environments.

 Based on the existing works on safety features that minimize the risk of HRI, a classification of the existing works into five major categories namely, Robot Perceptions for Safe HRI, Cognition-enabled robot control in HRI, Action Planning for safe navigation close to humans, Hardware safety features and Societal and Psychological factors are also applied.

 Finally, the current study further discusses the existing risk assessment techniques as methods to offer additional safety in robotic systems presenting thus a holistic analysis of the safety in contemporary robots, and proposes a roadmap for safety compliance features during the development of a robotic system.

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Expressing attention requirement of a floor cleaning robot through interactive lights

Cleaning robots are used to cater to the demands in both domestic and industrial premises.

Much of the research work is being conducted to improve functionalities and efficiency of cleaning robots.

Users of these robots prefer human-friendly interactive features in these functional robots.

Therefore, the focus of the research work in the area of cleaning robots has been drifted from improving core cleaning related functionalities to implementing human-friendly interactive features in recent years.

The existing floor cleaning robots do not possess the ability to express their state to users. 

Lack of expressiveness is one of the major factors that degrade human-robot interaction.

Therefore, this paper proposes a method to express a floor cleaning robot's attention requirement to its users.

The attention requirement of the robot in a situation is determined by a fuzzy inference system that analyzes the bumping level and experience of attention level requirements.

The requirement of attention is expressed to users by varying the color of lights attached to the robot.

Based on the color variation, users can identify the robot's situation and users could take corrective measures.

Experimental results confirm that the robot can express its attention requirement to a user based on the state.

A user study has also been conducted to evaluate the performance improvement of the proposed method. 

According to the outcomes, the proposed method can remarkably improve the human-friendliness of a floor cleaning robot.

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A welding task data model for intelligent process planning of robotic welding

Nowadays, as an efficient and automatic welding machine that accepts and executes human instructions, welding robots are widely used in industry.

 However, the lack of intelligence in process planning makes welding preparation complex and time-consuming. In order to realize intelligent process planning of robotic welding, one of the key factors in designing a welding task data model that can support process planning.

However, current welding task models have some drawbacks, such as inaccurate geometry information, lacking information on welding requirements, and lacking consideration of machine-readability and compatibility. They cannot provide sufficient information for intelligent process planning.

In this paper, a welding task data model, which includes information on accurate geometry, dimension, and welding requirement is presented to solve these problems. Firstly, through requirement analysis, necessary information items of a welding task data model are analyzed and summarized.

Then the welding task data model is designed in detail by using EXPRESS. The feasibility of the proposed welding task data model is demonstrated by creating the welding task file of an automobile front door subassembly. 

Moreover, an application framework of the welding task file is presented. Results show that the proposed welding task data model is feasible for supporting intelligent process planning and information integration of robotic welding.

I take immense pleasure to invite you as a Speaker/Delegate to attend the "AI Expo 2020" scheduled to be held on October 22-23, 2020 in Rome, Italy.

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AI Expo 2020

About Conference

Longdom Conferences provide the platform to speakers and offer delegates the opportunity to share their ideas and network. We are pleased to welcome you to attend and associate with us at the “Future of Artificial intelligence, Automation, and Robotics” conference on October 22-23, 2020 in Rome, Italy.

AI Expo 2020  mainly focuses on the theme “AI-The Actual Race of Emerging Trends in the Field of Robotics” to develop and explore knowledge among the robotics and artificial intelligence which will provide the right stage to present thought-provoking Keynote talks, Plenary sessions, Discussion Panels, B2B Meetings, Poster symposia, Video Presentations, and Workshops.

AI Expo 2020 foresees over 150-200 participants from 7 continents with revolutionary subjects, discussions, and expositions. This will be excellent viability for the researchers, students and the delegates from Universities and Institutes to intermingle with the world-class Scientists, speakers, technicians, technical Practitioners and Industry Professionals working in the related field.  

Our Mission:
To provide the best platform where various ideas can be shared and information can be discussed.
To conduct conferences annually in each and every field of life science in various parts of the world to target maximum audiences.
To conduct outstanding events with our hard work.
To create some value in the whole world.

Our Vision:
To work as a team with effective dedication and prove ourselves as the best company for an outstanding conference Organizer.

Conference Highlights

• Artificial Intelligence
• Ethics of Artificial Intelligence
• Role of AI in Industry
• Artificial Intelligence and Robotics
• Types of Robots and its application
• Human-Robot Interaction
• Industrial Robot Automation 
• Robotics in Medical field
• Robotics and Mechatronics
• Aerial Robotics and UAV
• Role of robotics in Prosthetics and orthotics
• Computer Vision, Machine Vision and Analytics
• Machine Learning, Deep learnig and Blockchain
• Autonomous Vehicles
• Intelligent Agents and Multi-agent Systems
• Intelligent Transportation Systems
• IoT- Simplifying our Life
• Cloud Computing and Internet of Things
• Cyber Security: Threat & Road Ahead
• Big Data analysis and Data mining
  
  See more at: https://www.longdom.com/artificialintelligence