Intelligent Perception, Interaction and Learning for Dexterous Robotic Manipulation

Submission opens on ScholarOne: 1st September 2021

Submission date: 30th December 2021

Guest editor

Bin Fang, Tsinghua University

Email: [email protected]

Qiang Li, Bielefeld University

Email: [email protected]

Fei Chen, The Chinese University of Hong Kong

Email: [email protected]

Weiwei Wan, Osaka University

Email: [email protected]

Overview of special issue

Dexterous manipulation is a crucial technology of robotics. It is the basis of many wide robotic applications in the manufacturing and service fields. However, actual automated operation processes suffer from complex dynamics characteristics, including environmental disturbance and high-dimensional actions. Lab-born dexterous manipulation methods are not directly applicable to them. Under this background, there is a high expectation for more advanced technologies that combine intelligent perception, interaction and learning to fill the gap. Recently, these advanced technologies have been significant queries to robotic engineers, researchers, and automation funding agencies worldwide.

This special issue aims to track the state-of-the-art progress on the advanced technologies that combine intelligent perception, interaction, and learning to overcome the gap between lab-born methods and real-world applications. It focuses on the importance of intelligent technologies in dexterous manipulation and is expected to promote the deep integration of artificial intelligence and robot dexterous manipulation technology to form a series of innovative research. Submitted contributions shall emphasize the real-world applications of dexterous manipulation and how lab-born methods can be applied to automated sites considering the combination of perception, interaction, and learning. Especially, the preliminary list of topics of interest includes but is not limited to the ones listed in the following section.

Indicative list of anticipated themes

  • Manipulation learning from demonstration
  • Human-robot interaction for dexterous manipulation
  • Rigid/Soft multi-finger robotic hand
  • Robotic tactile sensor
  • Tactile servo
  • Flexible grasping and manipulation
  • Grasp planning and control
  • Visual-tactile fusion for perception and manipulation
  • In-hand manipulation
  • Robot Learning
  • Robotic hand application in service and industry field

Submission details

All submissions must be made via ScholarOne

For more information, please see the author guidelines.