联合特刊:响应式机器人的设计与控制

IF 1.9 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Andreas Mueller, Jozsef Kovecses, Charles Kim, Chandramouli Padmanabhan, Gabor Orosz
{"title":"联合特刊:响应式机器人的设计与控制","authors":"Andreas Mueller, Jozsef Kovecses, Charles Kim, Chandramouli Padmanabhan, Gabor Orosz","doi":"10.1115/1.4062416","DOIUrl":null,"url":null,"abstract":"Robots are complex controlled dynamical systems interacting with their environment. Agile robotic systems have been penetrating almost all industrial sectors as the backbone for industrial automation, ranging from heavy duty manipulators to collaborative robots (cobots) and mobile platforms for logistics tasks. Currently, autonomous vehicles (e.g., cars, mobile delivery systems, drones, inspection, and maintenance) are entering the public sector, but also the use of surgical robots is becoming an integral part of medical treatments. In a foreseeable future, assistive robots for domestic use will become indispensable for caretaking and as exoskeletal devices providing physical support thus physically interacting with humans. Future robots need to be responsive; they must (inter)act safely, minimize the use of resources (energy, material, process-, development-, and commissioning-time), and adapt to variations in demands and environmental conditions.Advanced robotic systems are equipped with multimodal sensory systems, and are operated with model-based and model-free control schemes. Yet, the mechanical embodiment is the starting point of any robot design. Key to a reliable design and control of such robots are holistic design approaches embracing kinematic synthesis, dynamic analysis, control, sensory perception, and adaptability. Novel mechanical design principles, combining high-fidelity kinematic and dynamic models with data-driven methods, are applied along with model-free machine learning (ML) and artificial intelligence (AI) methods. The foundation is a synergetic combination of research in mechanism theory and dynamical systems and control.This joint special issue of the Journal of Mechanisms and Robotics (JMR) and the Journal of Computational and Nonlinear Dynamics (JCND) aims to bridge between these research fields and to bring together the latest research on robot kinematics and dynamics as well as intelligent control and data-driven methods for perception, planning, model identification, and control.This joint special issue is a collection of 13 papers published in JMR and 10 papers published in JCND, respectively. The papers published in JMR address several of the main research topics in robot design, namely, the design and control of agile and compliant robots intended for robust and safe interaction with its environment. The paper “Design, Calibration, and Control of Compliant Force-Sensing Gripping Pads for Humanoid Robots” introduces low-cost, light-weight, and compliant force-sensing gripping pads that enables smaller-sized humanoid robots to manipulate box-like objects. In “Dyno-Kinematic Leg Design for High Energy Robotic Locomotion,” technique for leg design for high energy robotic locomotion is presented that encodes desired dynamic features into the mechanical design. In the paper “Emerging Gaits for a Quadrupedal Template Model with Segmented Legs,” the gait stability of quadrupedal robots with articulated elastic legs is studied. The two papers “Stable Inverse Dynamics for Feedforward Control of Nonminimum-Phase Underactuated Systems” and “Experimental Safety Analysis of R-Min, an Underactuated Parallel Robot” deal with the operation of underactuated robots. In both papers, underactuation stems from the presence of compliant elements. Moreover, introducing compliance is becoming an important design approach which is the topic of the three papers “Kinetostatic Modeling of Continuum Delta Robot With Variable Curvature Continuum Joints,” “Design and Modeling Framework for DexTeR: Dexterous Continuum Tensegrity Manipulator,” and “Analysis of a Soft Bio-Inspired Active Actuation Model for the Design of Artificial Vocal Folds.” While the first two papers address the design of robots that make use of inherently flexible components, the last paper exploits the compliance to mimic a biological system. Mechanical compliance is also the crucial feature exploited in the two papers “Flexible Long-Reach Robotic Limbs Using Tape Springs for Mobility and Manipulation” and “Control of Pneumatic Artificial Muscle Actuated Two Degrees-of-Freedom Robot Using PD-Based Pulse Width Modulation Strategy With Feed-Forward Outer Control Loop.” The first proposes an innovative actuation concept while the second proposes a novel control strategy for the established concept of pneumatic artificial muscles. A bio-inspired approach to modulating the compliance of a robot is presented in “Variable Stiffness and Antagonist Actuation for Cable-driven Manipulators Inspired by the Bird Neck.” The paper “Robust Attitude Controller Design for an Uncommon Quadrotor With Big and Small Tilt Rotors” presents the modeling and robust control of a quadrotor UAV. The design innovation paper “Deep Reinforcement Learning-Based Control of Stewart Platform With Parametric Simulation in ROS and Gazebo” presents a control method that uses a dynamics simulation for training deep network to control a parallel kinematics manipulator.The collection published in JCND has focus on assistive robots and on design and control of soft underactuated systems. The paper “Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability” provides an exhaustive overview of design principles for actuators used in prosthetic robotic systems. The important issue of using EMG for control of assistive devices is addressed in “Feasibility Study of Upper Limb Control Method Based on Electromyography-Angle Relation.” A now design concept for a prosthetic hand is presented in the paper “Novel Kinematics of an Anthropomorphic Prosthetic Hand Allowing Lateral and Opposite Grasp With a Single Actuator.” Designing and controlling robots to display a desired compliance is relevant in various applications. The design of inherently soft robots that can reconfigure to different shapes is presented in “Topology Design and Optimization of Modular Soft Robots Capable of Homogenous and Heterogenous Reconfiguration.” Compliance control of a space robot is addressed in the paper “FSTSMC Compliance Control for Dual-Arm Space Robot with SDBD Capture Satellite Operation.” The control of an underactuated flying robot with elastic attachments is presented in the paper “Design of a Sliding Mode-Adaptive PID Control for Aerial Systems with a Suspended Load Exposed to Wind Gusts.” The paper “Mechanical Design, Planning, and Control for Legged Robots in Distillation Columns” addresses the design of a dedicated arm mounted on a quadrupedal robot and the control of the system when navigating in narrow environments. The paper “Delay Effects in the Dynamics of Human Controlled Towing of Vehicles” investigates the stability of a control system representing the behavior of vehicle towing. Another paper dealing with control of underactuated robots is “Variational Principles for the Trajectory Tracking Control of Underactuated Mechanical Systems,” where underactuation is again due to the existence of elastic components in the robot. A crucial aspect of all simulation models, namely, to calibration of existing models and the model reduction, is addressed in the paper “Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics.”The spectrum of contributions collected in this joint special issue by researchers from different fields is testimony to the importance of combining research in mechanical design, nonlinear control and dynamics simulation embracing modern methods from mechanism theory, nonlinear dynamics and control, as well as model-free data driven approaches.We thank the authors who have submitted their work to this special issue, and the many reviewers that provided valuable peer review. We also thank Venkat Krovi, editor of the Journal of Mechanisms and Robotics, and to Bogdan Epureanu, editor of the Journal of Computational and Nonlinear Dynamics, who supported this special issue. Special thanks go to Amy Suski for her tireless support during all steps of the preparation, review, and production process.","PeriodicalId":54858,"journal":{"name":"Journal of Computational and Nonlinear Dynamics","volume":"25 1","pages":"0"},"PeriodicalIF":1.9000,"publicationDate":"2023-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Special Issue: Design and Control of Responsive Robots\",\"authors\":\"Andreas Mueller, Jozsef Kovecses, Charles Kim, Chandramouli Padmanabhan, Gabor Orosz\",\"doi\":\"10.1115/1.4062416\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robots are complex controlled dynamical systems interacting with their environment. Agile robotic systems have been penetrating almost all industrial sectors as the backbone for industrial automation, ranging from heavy duty manipulators to collaborative robots (cobots) and mobile platforms for logistics tasks. Currently, autonomous vehicles (e.g., cars, mobile delivery systems, drones, inspection, and maintenance) are entering the public sector, but also the use of surgical robots is becoming an integral part of medical treatments. In a foreseeable future, assistive robots for domestic use will become indispensable for caretaking and as exoskeletal devices providing physical support thus physically interacting with humans. Future robots need to be responsive; they must (inter)act safely, minimize the use of resources (energy, material, process-, development-, and commissioning-time), and adapt to variations in demands and environmental conditions.Advanced robotic systems are equipped with multimodal sensory systems, and are operated with model-based and model-free control schemes. Yet, the mechanical embodiment is the starting point of any robot design. Key to a reliable design and control of such robots are holistic design approaches embracing kinematic synthesis, dynamic analysis, control, sensory perception, and adaptability. Novel mechanical design principles, combining high-fidelity kinematic and dynamic models with data-driven methods, are applied along with model-free machine learning (ML) and artificial intelligence (AI) methods. The foundation is a synergetic combination of research in mechanism theory and dynamical systems and control.This joint special issue of the Journal of Mechanisms and Robotics (JMR) and the Journal of Computational and Nonlinear Dynamics (JCND) aims to bridge between these research fields and to bring together the latest research on robot kinematics and dynamics as well as intelligent control and data-driven methods for perception, planning, model identification, and control.This joint special issue is a collection of 13 papers published in JMR and 10 papers published in JCND, respectively. The papers published in JMR address several of the main research topics in robot design, namely, the design and control of agile and compliant robots intended for robust and safe interaction with its environment. The paper “Design, Calibration, and Control of Compliant Force-Sensing Gripping Pads for Humanoid Robots” introduces low-cost, light-weight, and compliant force-sensing gripping pads that enables smaller-sized humanoid robots to manipulate box-like objects. In “Dyno-Kinematic Leg Design for High Energy Robotic Locomotion,” technique for leg design for high energy robotic locomotion is presented that encodes desired dynamic features into the mechanical design. In the paper “Emerging Gaits for a Quadrupedal Template Model with Segmented Legs,” the gait stability of quadrupedal robots with articulated elastic legs is studied. The two papers “Stable Inverse Dynamics for Feedforward Control of Nonminimum-Phase Underactuated Systems” and “Experimental Safety Analysis of R-Min, an Underactuated Parallel Robot” deal with the operation of underactuated robots. In both papers, underactuation stems from the presence of compliant elements. Moreover, introducing compliance is becoming an important design approach which is the topic of the three papers “Kinetostatic Modeling of Continuum Delta Robot With Variable Curvature Continuum Joints,” “Design and Modeling Framework for DexTeR: Dexterous Continuum Tensegrity Manipulator,” and “Analysis of a Soft Bio-Inspired Active Actuation Model for the Design of Artificial Vocal Folds.” While the first two papers address the design of robots that make use of inherently flexible components, the last paper exploits the compliance to mimic a biological system. Mechanical compliance is also the crucial feature exploited in the two papers “Flexible Long-Reach Robotic Limbs Using Tape Springs for Mobility and Manipulation” and “Control of Pneumatic Artificial Muscle Actuated Two Degrees-of-Freedom Robot Using PD-Based Pulse Width Modulation Strategy With Feed-Forward Outer Control Loop.” The first proposes an innovative actuation concept while the second proposes a novel control strategy for the established concept of pneumatic artificial muscles. A bio-inspired approach to modulating the compliance of a robot is presented in “Variable Stiffness and Antagonist Actuation for Cable-driven Manipulators Inspired by the Bird Neck.” The paper “Robust Attitude Controller Design for an Uncommon Quadrotor With Big and Small Tilt Rotors” presents the modeling and robust control of a quadrotor UAV. The design innovation paper “Deep Reinforcement Learning-Based Control of Stewart Platform With Parametric Simulation in ROS and Gazebo” presents a control method that uses a dynamics simulation for training deep network to control a parallel kinematics manipulator.The collection published in JCND has focus on assistive robots and on design and control of soft underactuated systems. The paper “Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability” provides an exhaustive overview of design principles for actuators used in prosthetic robotic systems. The important issue of using EMG for control of assistive devices is addressed in “Feasibility Study of Upper Limb Control Method Based on Electromyography-Angle Relation.” A now design concept for a prosthetic hand is presented in the paper “Novel Kinematics of an Anthropomorphic Prosthetic Hand Allowing Lateral and Opposite Grasp With a Single Actuator.” Designing and controlling robots to display a desired compliance is relevant in various applications. The design of inherently soft robots that can reconfigure to different shapes is presented in “Topology Design and Optimization of Modular Soft Robots Capable of Homogenous and Heterogenous Reconfiguration.” Compliance control of a space robot is addressed in the paper “FSTSMC Compliance Control for Dual-Arm Space Robot with SDBD Capture Satellite Operation.” The control of an underactuated flying robot with elastic attachments is presented in the paper “Design of a Sliding Mode-Adaptive PID Control for Aerial Systems with a Suspended Load Exposed to Wind Gusts.” The paper “Mechanical Design, Planning, and Control for Legged Robots in Distillation Columns” addresses the design of a dedicated arm mounted on a quadrupedal robot and the control of the system when navigating in narrow environments. The paper “Delay Effects in the Dynamics of Human Controlled Towing of Vehicles” investigates the stability of a control system representing the behavior of vehicle towing. Another paper dealing with control of underactuated robots is “Variational Principles for the Trajectory Tracking Control of Underactuated Mechanical Systems,” where underactuation is again due to the existence of elastic components in the robot. A crucial aspect of all simulation models, namely, to calibration of existing models and the model reduction, is addressed in the paper “Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics.”The spectrum of contributions collected in this joint special issue by researchers from different fields is testimony to the importance of combining research in mechanical design, nonlinear control and dynamics simulation embracing modern methods from mechanism theory, nonlinear dynamics and control, as well as model-free data driven approaches.We thank the authors who have submitted their work to this special issue, and the many reviewers that provided valuable peer review. We also thank Venkat Krovi, editor of the Journal of Mechanisms and Robotics, and to Bogdan Epureanu, editor of the Journal of Computational and Nonlinear Dynamics, who supported this special issue. Special thanks go to Amy Suski for her tireless support during all steps of the preparation, review, and production process.\",\"PeriodicalId\":54858,\"journal\":{\"name\":\"Journal of Computational and Nonlinear Dynamics\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2023-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Computational and Nonlinear Dynamics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/1.4062416\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, MECHANICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Nonlinear Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/1.4062416","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

摘要

机器人是复杂的动态控制系统,与环境相互作用。作为工业自动化的支柱,敏捷机器人系统已经渗透到几乎所有工业领域,从重型机械手到协作机器人(cobots)和物流任务的移动平台。目前,自动驾驶车辆(如汽车、移动交付系统、无人机、检查和维护)正在进入公共部门,但手术机器人的使用也正在成为医疗的一个组成部分。在可预见的未来,家用辅助机器人将成为护理和提供物理支持的外骨骼设备,从而与人类进行物理互动。未来的机器人需要反应灵敏;它们必须(相互作用)安全地工作,最大限度地减少资源(能源、材料、工艺、开发和调试时间)的使用,并适应需求和环境条件的变化。先进的机器人系统配备了多模态传感系统,并采用基于模型和无模型的控制方案进行操作。然而,机械体现是任何机器人设计的出发点。这类机器人可靠设计和控制的关键是整体设计方法,包括运动学综合、动态分析、控制、感官感知和适应性。新颖的机械设计原理,将高保真的运动学和动态模型与数据驱动方法相结合,与无模型机器学习(ML)和人工智能(AI)方法一起应用。该基础是机制理论与动力系统和控制研究的协同结合。《机械与机器人杂志》(JMR)和《计算与非线性动力学杂志》(JCND)的联合特刊旨在在这些研究领域之间架起一座桥梁,汇集机器人运动学和动力学的最新研究,以及智能控制和数据驱动的感知、规划、模型识别和控制方法。本期联合特刊收录了JMR发表的13篇论文和JCND发表的10篇论文。发表在JMR上的论文涉及机器人设计中的几个主要研究课题,即设计和控制敏捷和柔性机器人,以实现与环境的鲁棒和安全交互。论文《人形机器人柔顺力感夹持垫的设计、校准和控制》介绍了一种低成本、轻量化、柔顺的力感夹持垫,使更小尺寸的人形机器人能够操纵盒状物体。在“高能机器人运动腿的动态运动学设计”一文中,提出了高能机器人运动腿的设计技术,将所需的动力学特征编码到机械设计中。本文以“分段腿四足模板模型的新兴步态”为研究对象,研究了关节弹性腿四足机器人的步态稳定性。“非最小相位欠驱动系统前馈控制的稳定逆动力学”和“欠驱动并联机器人R-Min的实验安全性分析”两篇论文研究了欠驱动机器人的运行。在这两篇论文中,欠驱动源于柔性元件的存在。此外,引入柔顺性正成为一种重要的设计方法,这是《变曲率连续关节连续体Delta机器人的运动学建模》、《DexTeR:灵巧连续体张拉整体机械臂的设计与建模框架》和《柔性仿生主动驱动模型的分析》三篇论文的主题。前两篇论文讨论的是利用固有柔性部件设计机器人,而最后一篇论文则利用顺应性来模拟生物系统。机械顺应性也是两篇论文“利用带弹簧进行移动和操作的柔性长臂机器人”和“基于pd的脉冲宽度调制策略与前馈外控制环的气动人工肌肉驱动二自由度机器人控制”中所利用的关键特征。前者提出了一种创新的驱动概念,后者提出了一种新的气动人造肌肉控制策略。在“受鸟颈启发的电缆驱动机械臂的可变刚度和拮抗驱动”中提出了一种仿生方法来调节机器人的顺应性。本文“一种特殊大小倾斜旋翼四旋翼飞行器的鲁棒姿态控制器设计”介绍了一种四旋翼无人机的建模和鲁棒控制。设计创新论文《基于ROS和Gazebo参数化仿真的Stewart平台深度强化学习控制》提出了一种利用动力学仿真训练深度网络控制并联机械臂的控制方法。 在JCND上发表的集合集中在辅助机器人和软欠驱动系统的设计和控制上。论文“机器人腿假体和外骨骼的节能致动器设计原则:系列弹性和反驾驶性的回顾”提供了假体机器人系统中使用的致动器设计原则的详尽概述。在“基于肌电-角度关系的上肢控制方法可行性研究”中讨论了利用肌电图控制辅助装置的重要问题。本文提出了一种新型拟人假手的设计概念,该仿生假手可以用单个驱动器进行横向和反向抓取。设计和控制机器人以显示期望的顺应性在各种应用中都是相关的。在“同质和异质重构模块化软机器人拓扑设计与优化”一文中,提出了可重构成不同形状的固有软机器人的设计。在“SDBD捕获卫星操作双臂空间机器人的FSTSMC柔度控制”的基础上,研究了空间机器人的柔度控制问题。针对一种带弹性附件的欠驱动飞行机器人的控制问题,在“风环境下悬载航空系统的滑模自适应PID控制设计”一文中进行了研究。论文“精馏塔中腿式机器人的机械设计,规划和控制”解决了安装在四足机器人上的专用手臂的设计以及在狭窄环境中导航时系统的控制。本文“人控车辆拖曳动力学中的延迟效应”研究了代表车辆拖曳行为的控制系统的稳定性。另一篇关于欠驱动机器人控制的论文是“欠驱动机械系统轨迹跟踪控制的变分原理”,其中欠驱动又是由于机器人中存在弹性元件而引起的。所有仿真模型的一个关键方面,即现有模型的校准和模型缩减,在“使用贝叶斯推理方法校准机器人仿真模型”一文中得到了解决。来自不同领域的研究人员在本期联合特刊中收集的各种贡献证明了将机械设计、非线性控制和动力学仿真研究结合起来的重要性,这些研究包括机制理论、非线性动力学和控制以及无模型数据驱动方法等现代方法。我们感谢向本期特刊投稿的作者,以及许多提供了宝贵同行评议的审稿人。我们还要感谢《机械与机器人》杂志的编辑Venkat Krovi,以及《计算与非线性动力学》杂志的编辑Bogdan Epureanu对本期特刊的支持。特别感谢Amy Suski在筹备、审核和制作过程中孜孜不倦的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Special Issue: Design and Control of Responsive Robots
Robots are complex controlled dynamical systems interacting with their environment. Agile robotic systems have been penetrating almost all industrial sectors as the backbone for industrial automation, ranging from heavy duty manipulators to collaborative robots (cobots) and mobile platforms for logistics tasks. Currently, autonomous vehicles (e.g., cars, mobile delivery systems, drones, inspection, and maintenance) are entering the public sector, but also the use of surgical robots is becoming an integral part of medical treatments. In a foreseeable future, assistive robots for domestic use will become indispensable for caretaking and as exoskeletal devices providing physical support thus physically interacting with humans. Future robots need to be responsive; they must (inter)act safely, minimize the use of resources (energy, material, process-, development-, and commissioning-time), and adapt to variations in demands and environmental conditions.Advanced robotic systems are equipped with multimodal sensory systems, and are operated with model-based and model-free control schemes. Yet, the mechanical embodiment is the starting point of any robot design. Key to a reliable design and control of such robots are holistic design approaches embracing kinematic synthesis, dynamic analysis, control, sensory perception, and adaptability. Novel mechanical design principles, combining high-fidelity kinematic and dynamic models with data-driven methods, are applied along with model-free machine learning (ML) and artificial intelligence (AI) methods. The foundation is a synergetic combination of research in mechanism theory and dynamical systems and control.This joint special issue of the Journal of Mechanisms and Robotics (JMR) and the Journal of Computational and Nonlinear Dynamics (JCND) aims to bridge between these research fields and to bring together the latest research on robot kinematics and dynamics as well as intelligent control and data-driven methods for perception, planning, model identification, and control.This joint special issue is a collection of 13 papers published in JMR and 10 papers published in JCND, respectively. The papers published in JMR address several of the main research topics in robot design, namely, the design and control of agile and compliant robots intended for robust and safe interaction with its environment. The paper “Design, Calibration, and Control of Compliant Force-Sensing Gripping Pads for Humanoid Robots” introduces low-cost, light-weight, and compliant force-sensing gripping pads that enables smaller-sized humanoid robots to manipulate box-like objects. In “Dyno-Kinematic Leg Design for High Energy Robotic Locomotion,” technique for leg design for high energy robotic locomotion is presented that encodes desired dynamic features into the mechanical design. In the paper “Emerging Gaits for a Quadrupedal Template Model with Segmented Legs,” the gait stability of quadrupedal robots with articulated elastic legs is studied. The two papers “Stable Inverse Dynamics for Feedforward Control of Nonminimum-Phase Underactuated Systems” and “Experimental Safety Analysis of R-Min, an Underactuated Parallel Robot” deal with the operation of underactuated robots. In both papers, underactuation stems from the presence of compliant elements. Moreover, introducing compliance is becoming an important design approach which is the topic of the three papers “Kinetostatic Modeling of Continuum Delta Robot With Variable Curvature Continuum Joints,” “Design and Modeling Framework for DexTeR: Dexterous Continuum Tensegrity Manipulator,” and “Analysis of a Soft Bio-Inspired Active Actuation Model for the Design of Artificial Vocal Folds.” While the first two papers address the design of robots that make use of inherently flexible components, the last paper exploits the compliance to mimic a biological system. Mechanical compliance is also the crucial feature exploited in the two papers “Flexible Long-Reach Robotic Limbs Using Tape Springs for Mobility and Manipulation” and “Control of Pneumatic Artificial Muscle Actuated Two Degrees-of-Freedom Robot Using PD-Based Pulse Width Modulation Strategy With Feed-Forward Outer Control Loop.” The first proposes an innovative actuation concept while the second proposes a novel control strategy for the established concept of pneumatic artificial muscles. A bio-inspired approach to modulating the compliance of a robot is presented in “Variable Stiffness and Antagonist Actuation for Cable-driven Manipulators Inspired by the Bird Neck.” The paper “Robust Attitude Controller Design for an Uncommon Quadrotor With Big and Small Tilt Rotors” presents the modeling and robust control of a quadrotor UAV. The design innovation paper “Deep Reinforcement Learning-Based Control of Stewart Platform With Parametric Simulation in ROS and Gazebo” presents a control method that uses a dynamics simulation for training deep network to control a parallel kinematics manipulator.The collection published in JCND has focus on assistive robots and on design and control of soft underactuated systems. The paper “Energy-Efficient Actuator Design Principles for Robotic Leg Prostheses and Exoskeletons: A Review of Series Elasticity and Backdrivability” provides an exhaustive overview of design principles for actuators used in prosthetic robotic systems. The important issue of using EMG for control of assistive devices is addressed in “Feasibility Study of Upper Limb Control Method Based on Electromyography-Angle Relation.” A now design concept for a prosthetic hand is presented in the paper “Novel Kinematics of an Anthropomorphic Prosthetic Hand Allowing Lateral and Opposite Grasp With a Single Actuator.” Designing and controlling robots to display a desired compliance is relevant in various applications. The design of inherently soft robots that can reconfigure to different shapes is presented in “Topology Design and Optimization of Modular Soft Robots Capable of Homogenous and Heterogenous Reconfiguration.” Compliance control of a space robot is addressed in the paper “FSTSMC Compliance Control for Dual-Arm Space Robot with SDBD Capture Satellite Operation.” The control of an underactuated flying robot with elastic attachments is presented in the paper “Design of a Sliding Mode-Adaptive PID Control for Aerial Systems with a Suspended Load Exposed to Wind Gusts.” The paper “Mechanical Design, Planning, and Control for Legged Robots in Distillation Columns” addresses the design of a dedicated arm mounted on a quadrupedal robot and the control of the system when navigating in narrow environments. The paper “Delay Effects in the Dynamics of Human Controlled Towing of Vehicles” investigates the stability of a control system representing the behavior of vehicle towing. Another paper dealing with control of underactuated robots is “Variational Principles for the Trajectory Tracking Control of Underactuated Mechanical Systems,” where underactuation is again due to the existence of elastic components in the robot. A crucial aspect of all simulation models, namely, to calibration of existing models and the model reduction, is addressed in the paper “Using a Bayesian-Inference Approach to Calibrating Models for Simulation in Robotics.”The spectrum of contributions collected in this joint special issue by researchers from different fields is testimony to the importance of combining research in mechanical design, nonlinear control and dynamics simulation embracing modern methods from mechanism theory, nonlinear dynamics and control, as well as model-free data driven approaches.We thank the authors who have submitted their work to this special issue, and the many reviewers that provided valuable peer review. We also thank Venkat Krovi, editor of the Journal of Mechanisms and Robotics, and to Bogdan Epureanu, editor of the Journal of Computational and Nonlinear Dynamics, who supported this special issue. Special thanks go to Amy Suski for her tireless support during all steps of the preparation, review, and production process.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.00
自引率
10.00%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The purpose of the Journal of Computational and Nonlinear Dynamics is to provide a medium for rapid dissemination of original research results in theoretical as well as applied computational and nonlinear dynamics. The journal serves as a forum for the exchange of new ideas and applications in computational, rigid and flexible multi-body system dynamics and all aspects (analytical, numerical, and experimental) of dynamics associated with nonlinear systems. The broad scope of the journal encompasses all computational and nonlinear problems occurring in aeronautical, biological, electrical, mechanical, physical, and structural systems.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信