Design and Control of Parallel Robotics

Dear Colleagues,

Parallel robots, renowned for their high-precision motion capabilities, face challenges when used in traditional approaches. These challenges include resolving singularities and improving computational efficiency in forward kinematics solutions, inefficiencies when calculating the maximum singularity-free space, and difficulties in achieving multi-objective balance during structural parameter optimization, the enhancement of calibration accuracy in parallel robots, and servo control in parallel robots. This Special Issue is dedicated to exploring innovative strategies. By integrating neural networks and intelligent algorithms, it aims to revolutionize the performance of parallel robots. The Special Issue comprehensively addresses critical aspects such as kinematic computations, the determination of singularity-free space, fine-tuning of structural parameters, parameter calibration, and servo control. The research outcomes provide a solid theoretical foundation for optimized designs and wide-ranging applications in precision manufacturing, positioning, simulation, and other high-tech fields.

The rapid evolution of robotics and control systems is driving unprecedented advancements in automation, intelligence, and adaptability. As robots become increasingly integrated into diverse industries—from precision manufacturing to aerospace and healthcare—the demand for innovative methodologies, algorithms, and technologies continues to grow. This Special Issue, ‘Design and Control of Parallel Robotics’, focuses on cutting-edge research at the intersection of parallel robot mechanics, advanced control theories, and intelligent systems, aiming to address critical challenges and advance the frontiers of high-precision robotic applications.

Parallel robots, celebrated for their superior stiffness, accuracy, and dynamic performance, face persistent challenges in kinematic modeling, singularity resolution, computational efficiency, and real-time control. Traditional approaches often struggle with optimizing forward kinematics, determining maximum singularity-free workspaces, balancing multi-objective structural parameters, and enhancing calibration accuracy. This Special Issue seeks to bridge theoretical insights with engineering solutions by leveraging neural networks, adaptive algorithms, and data-driven strategies to revolutionize parallel robot performance. We invite contributions that explore novel architectural designs, robust control frameworks, and intelligent optimization techniques to enhance autonomy, precision, and adaptability in parallel robotic systems.

Topics of Interest

This Special Issue welcomes submissions on, but not limited to, the following themes:

• Kinematic/dynamic modeling and forward/inverse solution optimization for parallel robots.
• Singularity analysis, avoidance strategies, and singularity-free workspace determination.
• Multi-objective structural parameter optimization (stiffness, accuracy, workspace, energy efficiency).
• Advanced motion control strategies (neural network-based control, model predictive control, adaptive control).
• Precision calibration, error compensation, and parameter identification for parallel robots.
• Energy-efficient actuation systems and hybrid actuation mechanisms for parallel robots.
• Real-time trajectory planning and servo control with intelligent algorithms.
• Human–robot interaction in parallel robot-assisted precision tasks.
• The integration of machine learning in parallel robot design and control.

Dr. Huicheng Zhou
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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• parallel robots
• intelligent algorithms
• forward kinematics
• maximum singularity-free space
• structural parameter optimization
• parameter calibration
• precision motion control