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Adaptation, Intelligence, and Collaboration in Robotics

Call for Papers

The importance of intelligent robots has been significantly recognized in the robotics society. Unlike traditional industrial robots, which are mainly used to perform simple repeated jobs in the dirty, dangerous, and/or dummy environments, nowadays, various intelligent robots have been developed to extend the limit of human beings and to serve people in various areas. With the trend of intelligent robots, adaptation, intelligence, and collaboration are crucial features. This can enable robots to be more adaptable to the environment, tasks, payloads, objects, operators, or even other robots. This capability can further assist the robots to cope with various forms of uncertainties, complexity, nonlinearity, or difficulties in practical applications.

In order to create this peaceful coexistence and enable collaboration between robots and human, research and development in kinematics/dynamics modeling, motion control, trajectory planning/reconfiguration, environment perception, object recognition, object tracking, human robot interface/interaction, adaptive estimation, machine learning, and industrial Internet are necessary in such modern robotic applications. Any practical applications of robotic systems will rely on such deep integration of these techniques and related disciplines. This calls for a comprehensive or in-depth understanding to adaptation, intelligence, and collaboration in robotics and their concrete applications.

The purpose of this special issue is to publish high-quality research papers as well as review articles addressing recent advances on adaptation, intelligence, and collaboration in robotics. Original, high-quality contributions that are not yet published or that are not currently under review by other journals or peer-reviewed conferences are sought.

Potential topics include but are not limited to the following:

  • Kinematics/dynamics modeling
  • Adaptive motion control in robotics
  • Trajectory planning/reconfiguration
  • Human robot interface/interaction
  • Adaptive estimation, filtering, or learning in robotic applications
  • Machine learning or deep learning in robotics
  • Robot design for collaborative robots
  • Industrial Internet based robotic applications
  • Multirobot collaboration
  • Robot environment perception

Authors can submit their manuscripts through the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/jr/aicr/.

Submission DeadlineFriday, 15 September 2017
Publication DateFebruary 2018

Papers are published upon acceptance, regardless of the Special Issue publication date.

Lead Guest Editor

  • Hongbin Ma, Beijing Institute of Technology, Beijing, China

Guest Editors