Call for Abstract

Humanoid Robotics, Artificial Intelligence and Automation, will be organized around the theme “Innovations and Advancements in Robotics Technologies”

Humanoid 2020 is comprised of 12 tracks and 59 sessions designed to offer comprehensive sessions that address current issues in Humanoid 2020.

Submit your abstract to any of the mentioned tracks. All related abstracts are accepted.

Register now for the conference by choosing an appropriate package suitable to you.

Electronics Automation A Programmable Logic Controller (or PLC) is a specialised digital controller that can control machines and processes. It monitors inputs, makes decisions, and controls outputs in order to automate machines and processes. A building automation system is a system that controls and monitors building services. These systems can be built up in several different ways. In this chapter a general building automation system for a building with complex requirements due to the activity, such as a hospital, will be described. Real systems usually have several of the features and components described here but not all of them. The Automation level includes all the advanced controllers that controls and regulates the Field level devices in real time.

  • Track 1-1 Automation Instrument and Device
  • Track 1-2 PLC and Micro-Controllers
  • Track 1-3 Automation in Chemical Engineering
  • Track 1-4 Cloud Computing for Automation
  • Track 1-5 Building Automation

Augmented Reality (AR) is a general-purpose term used for any view of reality where elements of that view are augmented with virtual imagery. Augmented Reality (AR) is a technology where the reality is augmented, enhanced with different types of virtual information. This information can be e.g. 3D models, text and images. With AR the user sees this information as an overlay on top of the real world. Unlike virtual reality where the user it totally immersed in the virtual world and cannot see anything but the virtual environment. To be able to place the overlay in the correct position the AR software can use different types of techniques. Some of these techniques are marker tracking, image recognition and the use of embedded sensors. Augmented reality (AR) creates an environment where computer generated information is superimposed onto the user’s view of a real-world scene.

  • Track 2-1 Building Artificial Brains
  • Track 2-2 Mobile industrial robots
  • Track 2-3 Robotic arm
  • Track 2-4 Safety standards applied to Robotics
  • Track 2-5 Robots getting job so people losing job
  • Track 2-6 Vision, Recognition and Reconstruction
  • Track 2-7 Vision, Recognition and Reconstruction

Humanoid robots, while being one of the smallest groups of service robots in the current market, have the greatest potential to become the industrial tool of the future. Companies like Softbank Robotics have created human-looking robots to be used as medical assistants and teaching aids. Currently, humanoid robots are excelling in the medical industry, especially as companion robots.

  • Track 3-1 Ethical and social issue in human –humanoid co-existence
  • Track 3-2 Social interaction and acceptability
  • Track 3-3 Humanoids grand challenges
  • Track 3-4 Humanoids in hazardous environments

Robotics is an interdisciplinary branch of engineering and science that includes mechanical engineering, electronic engineering, information engineering, computer science, and others. Robotics deals with the design, construction, operation, and use of robots, as well as computer systems for their control, sensory feedback, and information processing. These technologies are used to develop machines that can substitute for humans and replicate human actions. Robots can be used in many situations and for lots of purposes. Robots can take on any form but some are made to resemble humans in appearance. This is said to help in the acceptance of a robot in certain replicative behaviours usually performed by people. Such robots attempt to replicate walking, lifting, speech, cognition, and basically anything a human can do. Many of today's robots are inspired by nature, contributing to the field of bio-inspired robotics.

  • Track 4-1 Multi robot systems
  • Track 4-2 Marine robots
  • Track 4-3 Nano robotics
  • Track 4-4 Autonomous Robotics
  • Track 4-5 Assistive robotics
  • Track 4-6 Bio-inspired Robotics

A humanoid robot is a robot that not only resembles human's physical attributes especially one head, a torso, and two arms but also should have the capability to communicate with humans and other robots, interpret information, and perform limited activities according to the user’s input. Humanoid robots are equipped with sensors and actuators. These robots are typically pre-programmed for determined specific activities.

  • Track 5-1 Humanoid motion planning and control
  • Track 5-2 Humanoid grasping and manipulation
  • Track 5-3 Learning and imitation strategies for humanoids
  • Track 5-4 Software and hardware architectures
  • Track 5-5 Perception and sensing for humanoids
Human beings have endeavoured to understand the systems and mechanisms that make up the human body, such as the principles of muscle control, the sensory nervous system that connects the brain and the body, the mechanisms of learning in the brain, and the accomplishment of the simple act of walking. In recent years, technology has developed to the point where humanoid robots that mimic human body structures are now being constructed, and these enable us to study the systems in the human body by making humanoids or through experimental trials in the real world. However, a limitation of conventional humanoids is that they have been designed on the basis of the theories of conventional engineering, mechanics, electronics, and informatics. They are also primarily intended for engineering-oriented applications, such as task achievement in daily life, personal assistance, or disaster response.
 
  • Track 6-1 Principles and technologies for anthropomorphic/bionic design and control
  • Track 6-2 Novel materials, devices, mechanisms, energy system for humanoids
  • Track 6-3 Software and hardware architecture, system integration
  • Track 6-4 Humanoid locomotion, manipulation, perception, planning
  • Track 6-5 Adaptation, learning and cognitive development of humanoids
  • Track 6-6 Humanoids for human science and engineering

In human face-to-face interaction, the observation of another individual performing an action facilitates the execution of a similar action, and interferes with the execution of a different action. This phenomenon has been explained by the existence of shared neural mechanisms for the execution and perception of actions, which would be automatically engaged by the perception of another individual's action.

  • Track 7-1 Ensuring Safety of Humans and Industrial Robots Sharing the Same Workspace
  • Track 7-2 Cognitive architectures
  • Track 7-3 Recognition of human activities and intentions
  • Track 7-4 Detection of human emotions

There have been many instances where robots have been used to reduce human error. Manufacturing, healthcare, hospitality, education, and many other fields use robots in some form; moreover, the application of robots in the military, manufacturing, and research is well-established. A humanoid robot is a specific robot that is in its developing phase. Humanoid robots can perform several human-like physical activities; however, its effectiveness, especially in the field of healthcare, education and social, is a concern.

  • Track 8-1 Intelligent information systems Drones, Educational and Re habitation robots
  • Track 8-2 Humanoid robotics in medical industry
  • Track 8-3 Humanoid robots to fill engineering tasks.
  • Track 8-4 Humanoid robots on aircraft assembly lines.
Human-centered robotics holds a special place in the robotics field because they both mimic human sensing and cognitive behaviour, and are designed to assist humans for safety and productivity. To explore human- centered robotics is to explore human beings and how we sense the world,   analyze complex and often conflicting information, and act upon our findings, modifying perception, understanding, and action as new information is available.
  • Track 9-1 Human motor Neuroscience
  • Track 9-2 Cognitive factors affecting human interactions
  • Track 9-3 Developing new robot behaviors

 Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using rules to reach approximate or definite conclusions) and self-correction.

  • Track 10-1Ambient Intelligence
  • Track 10-2Computational Intelligence
  • Track 10-3Computational Intelligence
  • Track 10-4 Neural Networks and Neuro-Fuzzy Systems
  • Track 10-5 Intelligent medical diagnostics
  • Track 10-6 Probabilistic reasoning

AI has evolved and we now have humanoid robots. Humanoid robots are robots that closely resemble humans in structure. The level at which humanoid robots can interact with humans is quite limited. This   is   where   Artificial   Intelligence   is   critical. It can help decipher commands, questions,   and statements   and might even be able to give witty, sarcastic replies and understand random, ambiguous human ramblings.

  • Track 11-1 AI-based Interaction
  • Track 11-2 Adaptation, learning and cognitive development of humanoids
  • Track 11-3 Friendly human-robot interfaces
  • Track 11-4 Emotional expression and perception
  • Track 11-5 Social learning

Industrial   AI   is more concerned with the application of such technologies to address industrial pain-points for customer value creation, productivity improvement, and insight discovery. Although in a dystopian vision of AI applications, intelligent machines may take away jobs of humans and cause social and ethical issues, industry in general holds a more positive view of AI and sees this transformation of economy unstoppable and expects huge business opportunities in this process.

  • Track 12-1 AI in Energy
  • Track 12-2 AI in video games and game theory
  • Track 12-3 AI in Healthcare
  • Track 12-4 Cutting Edge AI Research