Actuators in Robotic Control—3rd Edition

A special issue of Actuators (ISSN 2076-0825). This special issue belongs to the section "Actuators for Robotics".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 2580

Special Issue Editor

Special Issue Information

Dear Colleagues,

Robotic actuators are the components which convert the stored energy into the movement.

Robotic actuations, such as electric, hydraulic, or pneumatic, are integrated with sensors and control systems. The type of actuator affects the performance and efficiency of the robot greatly and enhances its ability to operate in dynamic environments autonomously. The actuator is like the "muscles" of a robot, which convert the stored energy into movement and contribute the precision and ability to interact with the environment. In the realm of robotic researches, the actuators are the components that drive force to execute the corresponding movement according to receive signals from the control system. They are the components that enable robots to interact with their environment by converting energy into motion. In the robotic applications, there are several types of actuators and the choice of actuator can influence its performance, efficiency, and suitability significantly. Electric actuators are the most commonly used among robotic actuators, due to their high speed, precision, and ease of control. Pneumatic actuators have fewer moving parts than other types of actuators, such as electric or hydraulic actuators. Pneumatic actuators, which are easier to maintain and less prone to mechanical failure, are the popular choice for applications that require reliability and low maintenance. However, pneumatic actuators have some limitations; they are less precise than the electric actuators, because they require a source of compressed air. Hydraulic actuators, that use pressurized fluid to create motion, are known for their high force and power, making them suitable for heavy-duty tasks. In a hydraulic actuator, a pump pressurizes a fluid to move a piston, which can be used to create linear or rotary motion.

When selecting an actuator for a robotic application, these metrics are used to determine the suitability of an actuator for a specific task as follows: (1) Force and Torque, (2) Speed and Response, (3) Accuracy and Precision, (4) Efficiency, (5) Durability and Reliability, and (6) Size and Weight. To ensure that all of the components of a robot are soft and flexible, actuators should provide their movements in limited spaces and change gaits easily. These actuators have advancements in fields such as materials science, electronics, and control systems to make it possible in robotic motion, such as Smart Materials Actuators, Soft Actuators, Energy-Efficient Actuators and Multi-Functional Actuators. New actuator designs, control techniques, and integration techniques for robots have been developed to satisfy sophisticated demands. Innovation in actuators is one of the most important subjects for next-generation robotics.

This Special Issue will focus on progress in actuators in robotic control in different applications. Original papers and survey papers are welcome.

Prof. Dr. Chih Jer Lin
Guest Editor

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Keywords

  • variable impedance actuators
  • soft actuators
  • elastic actuators
  • electric actuators
  • pneumatic artificial muscles
  • force/torque control
  • soft robotics
  • mobile robots
  • humanoid robotics
  • wearable robotic system
  • assistant robotics
  • upper limb exoskeletons
  • lower limb exoskeletons

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Published Papers (3 papers)

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19 pages, 8320 KiB  
Article
Inner–Outer Loop Intelligent Morphology Optimization and Pursuit–Evasion Control for Space Modular Robot
by Wenwei Luo, Ling Meng, Fei Feng, Pengyu Guo and Bo Li
Actuators 2025, 14(5), 234; https://doi.org/10.3390/act14050234 - 8 May 2025
Viewed by 146
Abstract
This paper proposes an inner–outer loop computational framework to address the morphology optimization and pursuit–evasion control problem for space modular robots. First, a morphological design space considering the functional characteristics of different modules is designed. Then, an elite genetic algorithm is applied to [...] Read more.
This paper proposes an inner–outer loop computational framework to address the morphology optimization and pursuit–evasion control problem for space modular robots. First, a morphological design space considering the functional characteristics of different modules is designed. Then, an elite genetic algorithm is applied to evolve the morphology within this space, and a proximal policy optimization algorithm is applied to control the space modular robot with evolved morphology. Considering symmetry, centrality, module cost, and average cumulative reward, a comprehensive morphological assessment is proposed to evaluate the morphology. And the assessment result serves as the fitness of evolution. In addition, by implementing the algorithm on the JAX framework for parallel computing, the computational efficiency was significantly enhanced, allowing the entire optimization process within 17.3 h. Comparative simulation results verify the effectiveness and superiority of the proposed computational framework. Full article
(This article belongs to the Special Issue Actuators in Robotic Control—3rd Edition)
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19 pages, 21047 KiB  
Article
Real-Time Localization for an AMR Based on RTAB-MAP
by Chih-Jer Lin, Chao-Chung Peng and Si-Ying Lu
Actuators 2025, 14(3), 117; https://doi.org/10.3390/act14030117 - 27 Feb 2025
Viewed by 1049
Abstract
This study aimed to develop a real-time localization system for an AMR (autonomous mobile robot), which utilizes the Robot Operating System (ROS) Noetic version in the Ubuntu 20.04 operating system. RTAB-MAP (Real-Time Appearance-Based Mapping) is employed for localization, integrating with an RGB-D camera [...] Read more.
This study aimed to develop a real-time localization system for an AMR (autonomous mobile robot), which utilizes the Robot Operating System (ROS) Noetic version in the Ubuntu 20.04 operating system. RTAB-MAP (Real-Time Appearance-Based Mapping) is employed for localization, integrating with an RGB-D camera and a 2D LiDAR for real-time localization and mapping. The navigation was performed using the A* algorithm for global path planning, combined with the Dynamic Window Approach (DWA) for local path planning. It enables the AMR to receive velocity control commands and complete the navigation task. RTAB-MAP is a graph-based visual SLAM method that combines closed-loop detection and the graph optimization algorithm. The maps built using these three methods were evaluated with RTAB-MAP localization and AMCL (Adaptive Monte Carlo Localization) in a high-similarity long corridor environment. For RTAB-MAP and AMCL methods, three map optimization methods, i.e., TORO (Tree-based Network Optimizer), g2o (General Graph Optimization), and GTSAM (Georgia Tech Smoothing and Mapping), were used for the graph optimization of the RTAB-MAP and AMCL methods. Finally, the TORO, g2o, and GTSAM methods were compared to test the accuracy of localization for a long corridor according to the RGB-D camera and the 2D LiDAR. Full article
(This article belongs to the Special Issue Actuators in Robotic Control—3rd Edition)
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20 pages, 4298 KiB  
Article
Design and Field Evaluation of an End Effector for Robotic Strawberry Harvesting
by Ezekyel Ochoa and Changki Mo
Actuators 2025, 14(2), 42; https://doi.org/10.3390/act14020042 - 22 Jan 2025
Cited by 1 | Viewed by 1007
Abstract
As the world’s population continues to rise while the agricultural workforce declines, farmers are increasingly challenged to meet the growing food demand. Strawberries grown in the U.S. are especially threatened by such stipulations, as the cost of labor for such a delicate crop [...] Read more.
As the world’s population continues to rise while the agricultural workforce declines, farmers are increasingly challenged to meet the growing food demand. Strawberries grown in the U.S. are especially threatened by such stipulations, as the cost of labor for such a delicate crop remains the bulk of the total production costs. Autonomous systems within the agricultural sector have enormous potential to catalyze the labor and land expansions required to meet the demands of feeding an increasing population, as well as heavily reducing the amount of food waste experienced in open fields. Our team is working to enhance robotic solutions for strawberry production, aiming to improve field processes and better replicate the efficiency of human workers. We propose a modular configuration that includes a Delta X parallel robot and a pneumatically powered end effector designed for precise strawberry harvesting. Our primary focus is on optimizing the design of the end effector and validating its high-speed actuation capabilities. The prototype of the presented end effector achieved high success rates of 94.74% in simulated environments and 100% in strawberry fields at Farias Farms, even when tasked to harvest in the densely covered conditions of the late growing season. Using an off-the-shelf robotic configuration, the system’s workspace has been validated as adequate for harvesting in a typical two-plant-per-row strawberry field, with the hardware itself being evaluated to harvest each strawberry in 2.8–3.8 s. This capability sets the stage for future enhancements, including the integration of the machine vision processes such that the system will identify and pick each strawberry within 5 s. Full article
(This article belongs to the Special Issue Actuators in Robotic Control—3rd Edition)
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