IEEE Transactions on Cognitive and Developmental Systems

Special Issue on Human Friendly Cognitive Robotics


This special issue on Human Friendly Cognitive Robotics is primarily concerned with the recent demands in the development of human-friendly robots. The study of this topic aims to find methods and technologies to make human-robot interaction in a highly intelligent and friendly manner. Cognition plays an important role for safe and dependable robots operating in close proximity to humans or directly interact with them in a wide range of domains. These robots are also expected to develop models to characterize individuals interacting with them, such that their interactive behaviors can be personalized to maximize individual user experience. Driven by these targets, this special issue aims to promote research work on human friendly robotics from the cognitive and developmental views.
With the development of robotic technology in various fields from factory assembly line to healthcare and rehabilitation, it is hard for the conventional robots of low level cognition to meet the requirements. The relationship between humans and robots has changed significantly in recent years. The transformation from conventional robots working isolated behind safety cages to collaborative robots interacting closely with human partners faces a number of challenges that should be addressed urgently. The new generation of collaborative robots are expected to be highly intelligent to learn new skills and to perform novel tasks with their partners through interaction. A promising way towards this goal is to integrate cognitive functions and developmental learning techniques into the processes of interaction between robots, humans and the environments. This special issue serves this purpose to propose and discuss cognition-based solutions to improve the state-of-art human-robot friendly interaction.
The researchers from different backgrounds (such as robotics, computer science, neuroscience and psychology) are welcome to share their methodologies, computational models and technologies to enhance the cognitive functionalities and intelligence of human-robot systems for better interaction performance.


The topics of this special issue aim to cover both explorations of fundamental theory and investigations of practical application for human friendly cognitive robots. The primary list of topics include but not limited to the followings.
Theoretical exploration oriented topics:

  • Architectures for robot perception, cognition and action
  • Modeling of human robot cognitive interaction
  • Modeling of user experience for collaborative robot
  • Fusion of physical and cognitive human-robot interaction
  • Investigation of human-robot hybrid intelligence during collaboration
  • Characteristics of sensorimotor behaviors and embodiment of cognition
  • Human-centered learning and optimization for collaborative robot
  • Study of human factors in human-robot interaction
  • Cognition developmental methods for human-friendly robots
  • Multi-modal learning for robot cognition development
  • Practical application oriented topics:

  • Cognitive control design with coupled action and perception
  • Learning by demonstration enhanced by cognition
  • Immersive teleoperation with multimodal human- robot communication
  • Bio-inspired interface design for friendly human robot interaction
  • Human behavior monitoring and analysis for collaborative robots
  • Rehabilitation robot and assistant devices with cognitive functions
  • Healthcare robot with cognitive adaptations
  • Industrial collaborative robots with intention recognition
  • Surgery robot with cooperative task execution and sliding autonomy
  • Caring robots with personalized cognitive interactions
  • Practical application oriented topics of this special issue could be, cognitive control design with coupled action and perception, robot learning by demonstration enhanced by cognition, immersive teleoperation with multimodal human- robot communication, bio-inspired interface design for friendly human robot interaction, human behavior monitoring and analysis for collaborative robots, rehabilitation robot and assistant devices with cognitive functions, healthcare robot with cognitive adaptations , industrial collaborative robots with intention recognition, surgery robot with cooperative task execution and sliding autonomy, caring robots with personalized cognitive interactions.


    Manuscripts should be prepared according to the “Information for Authors” of the journal found at
    Submissions must be done through the IEEE TCDS Manuscript center: Please select the category “SI: Human Friendly Cognitive Robotics”.


    30th July 2019 – Paper submission deadline
    30th September 2019 – First review deadline
    30th October 2019 – Revised papers submission
    30th November 2019 – Final notification for authors

    Call for Papers
    SCIENCE CHINA Information Sciences

    Special Issue on Bio-Robotic Systems: Modeling, Design, Control and Perception

    The advanced technology of bio-robotic systems is concentrated in bio-inspired modelling, expectation and intention understanding, system design, information interaction, intelligent control and learning. As a result of the development of these AI technologies, bio-robotic systems are developing towards the direction of autonomy and intelligence. In some respects, it is close to the human level. Due to advanced models and improved hardware computing capabilities, many bio-robotic systems applications have emerged, such as aerial robotic system, rehabilitation robotic system, medical healthcare robotic system, prosthetic device system, assistive robotic system, wearable robotic system. The research of “bio-robotic systems with intelligent perception and learning ability” is a development direction of robotic systems technology. The special issue addresses a broad spectrum of topics ranging from information perception and interaction for various bio-robotic systems such as aerial robotic system, medical healthcare robotic system, prosthetic device system, assistive robotic system, wearable robotic system to the optimization of the learning algorithm. Special attention should be paid to how to deal with the huge amount of information perception, optimize the learning ability, and achieve the high accurate control performance. This includes sensing, information interaction, learning control, iterative learning, deep learning and reinforcement learning. The special issue publishes original papers of innovative ideas and concepts, new discoveries and improvements, and novel applications to the field of bio-robotic systems. Topics explored in this special issue include, but are not limited to:

  • Design and development of various bio-inspired robots
  • Expectation and intention understanding
  • Intelligent decision making
  • Brain-inspired modelling and control of robotic systems
  • Deep learning approach and data-driven approach to bio-robotic systems
  • Force sensing system of rehabilitation robots
  • Environmental perception and decision making of medical healthcare robots
  • Optimization of learning algorithm
  • Reasoning and learning of assistive robotic systems
  • Brain science and cognitive science
  • Neural network control and its applications in bio-robotic systems
  • Intelligent control of bio-robotic systems
  • Computational intelligence and networking for multiple bio-robotic systems
  • System design and learning control for bio-robotic systems
  • Computer vision and pattern recognition for bio-robotic systems
  • Brain-inspired control of neuro-robotic systems
  • Important Dates:

    Manuscript submission deadline: August 31, 2019
    Acceptance notification: November 30, 2019
    Final manuscripts due: December 31, 2019
    Publication: May 1, 2020