Control and Motion Planning of Industrial Robotics

Dear Colleagues,

At present, industrial robots of various types have been playing important roles in manufacturing by performing repetitive and dull work with high endurance and good precision (e.g., painting, welding, assembling, and packaging). Millions of industrial robots have been applied in manufacturing workspaces worldwide.

To achieve high flexibility and stability for industrial robots which are engaged in industrial tedious operations, various motion planning and control techniques of industrial robots have been investigated and developed explosively. Examples include the redundancy resolution of industrial robots, the dynamic and kinematic control of serial and parallel industrial manipulators, vibration suppression control, and the motion planning of automated guided vehicles in dynamic environments. These techniques are beneficial to improve the intelligence and efficiency of different types of industrial robots for a diversity of tasks.

Novel strategies for control and planning are fundamental for granting reliable and promising performances based on the different types of robots. Analyzing the underlying internal mechanisms (e.g., control of actuators, path and task planning, and environment sensing and understanding) and suggesting new application paradigms will lead to a rapid evolution of the industrial robotic field, based on advanced control and planning strategies that will enhance industrial robots’ performances during complicated tasks.

This Special Issue is devoted to the collection of state-of-the-art developments and research outcomes addressing the related theoretical and practical aspects regarding new methods and applications for control and planning in a wide range of industrial robotic systems. The aim is to provide a platform for researchers and practitioners to present and discuss innovative solutions.

Topics of interest include but are not limited to:

• Kinematics and dynamics modelling of industrial robots with serial and parallel linkages;
• Joint motion planning and redundancy resolution of industrial robots;
• Dynamics models and dynamics-based controller design for industrial robots;
• Case study and application analysis of industrial robots under extreme circumstances;
• Cooperative and semi-autonomous control of multiple AGVs;
• Industrial robots toward zero-carbon manufacturing and service;
• Planning and control of reconfigured industrial robots for special applications.

Dr. Zhan Li
Guest Editor

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