农业机器人与自动化正面临一些挑战,这些挑战源于产品的高度变异性、任务复杂性、作物质量要求以及茂密植被。这一系列挑战要求机器人系统具备更强的多功能性和安全性。软体机器人学是一个年轻但前景广阔的研究领域,旨在增强当前刚性机器人在这些方面的表现,使其成为应对上述挑战的良好候选解决方案。总体而言,该领域旨在赋予机器人和机器自适应运动能力(Ansari et al., 2015)、安全且自适应的操作能力(Arleo et al., 2020)以及多功能抓取能力(Langowski et al., 2020)。但在农业中,软体机器人主要用于收获任务,更具体地说是用于抓取。在本章中,我们回顾了一组用于处理和收获作物的候选软体抓手,重点关注农业挑战,即处理安全性以及对作物高度变异的适应性。该回顾旨在展示软体抓手为何以及在多大程度上成功处理了农业任务。对结果进行的分析为农业任务中软体机器人的系统化设计提供了未来方向。
英文摘要:
Agricultural robotics and automation are facing some challenges rooted in the high variability 9 of products, task complexity, crop quality requirement, and dense vegetation. Such a set of 10 challenges demands a more versatile and safe robotic system. Soft robotics is a young yet 11 promising field of research aimed to enhance these aspects of current rigid robots which 12 makes it a good candidate solution for that challenge. In general, it aimed to provide robots 13 and machines with adaptive locomotion (Ansari et al., 2015), safe and adaptive manipulation 14 (Arleo et al., 2020) and versatile grasping (Langowski et al., 2020). But in agriculture, soft 15 robots have been mainly used in harvesting tasks and more specifically in grasping. In this 16 chapter, we review a candidate group of soft grippers that were used for handling and 17 harvesting crops regarding agricultural challenges i.e. safety in handling and adaptability to 18 the high variation of crops. The review is aimed to show why and to what extent soft grippers 19 have been successful in handling agricultural tasks. The analysis carried out on the results 20 provides future directions for the systematic design of soft robots in agricultural tasks.
Safe yet stable grasping requires a robotic hand to apply sufficient force on the object to immobilize it while keeping it from getting damaged. Soft robotic hands have been proposed for safe grasping due to their passive compliance, but even such a hand can crush objects if the applied force is too high. Thus for safe grasping, regulating the grasping force is of uttermost importance even with soft hands. In this work, we present a force controlled soft hand and use it to achieve safe grasping. To this end, resistive force and bend sensors are integrated in a soft hand, and a data-driven cali…
Autonomous grasping is an important factor for robots physically interacting with the environment and executing versatile tasks. However, a universally applicable, cost-effective, and rapidly deployable autonomous grasping approach is still limited by those target objects with fuzzy-depth information. Examples are transparent, specular, flat, and small objects whose depth is difficult to be accurately sensed. In this work, we present a solution to those fuzzy-depth objects. The framework of our approach includes two major components: one is a soft robotic hand and the other one is a Fuzzy-dept…
BioRobotics Institute, Scuola Superiore Sant’Anna(圣安娜高等研究院生物机器人研究所)
Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their usage have been restricted in highly dynamic grasping tasks. This paper presents a soft robotic gripper with tunable bistable properties for sensor-less dynamic grasping. The bistable mechanism allows us to store arbitrarily large strain energy in the soft system which is then released upon contact. The mechanism also provides flexibility on the type of actuat…
Soft robotic hands and grippers are increasingly attracting attention as a robotic end-effector. Compared with rigid counterparts, they are safer for human-robot and environment-robot interactions, easier to control, lower cost and weight, and more compliant. Current soft robotic hands have mostly focused on the soft fingers and bending actuators. However, the palm is also essential part for grasping. In this work, we propose a novel design of soft humanoid hand with pneumatic soft fingers and soft palm. The hand is inexpensive to fabricate. The configuration of the soft palm is based on modul…
A Vision-Based Collision Sensing Method for Stable Circular Object Grasping with A Soft Gripper System
Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology(电子与计算机工程系,香港科学与技术大学);Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology(土木与环境工程系,香港科学与技术大学)
Grasping by Spiraling: Reproducing Elephant Movements with Rigid-Soft Robot Synergy
Advanced Robotics Centre, National University of Singapore(新加坡国立大学先进机器人中心);Integrative Sciences and Engineering Programme, National University of Singapore Graduate School(新加坡国立大学研究生院整合科学与工程计划);School of Computer Science and Technology, University of Science and Technology of China(中国科学技术大学计算机科学与技术学院);Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR)(新加坡科技研究局高性能计算研究所)
Autonomous grasping remains challenging as unlike humans, robots do not possess a sophisticated sensing nor delicate interaction capability with the real environment. Among other efforts that tried to close the gap between them, anthropomorphic robotic hands is the most prominent direction. However, exactly following human hand design might be unnecessary as it will significantly increase the mechanical complexity and hence make it less economically feasible. Recently, soft robotic hands, a new trend has emerged, aiming to make the design adequately complex and affordable while requiring much …
University of Wollongong(伍伦贡大学);Lebanese American University(黎巴嫩美国大学)
This paper proposes a new variable stiffness soft gripper that enables high-performance grasping tasks in industrial applications. The design of the proposed monolithic soft gripper includes a middle bellow and two side bellows (i.e., fingers). The positions of the fingers are regulated by adjusting the negative pressure in the middle bellow actuator via an on-off controller. The stiffness of the soft gripper is modulated by controlling the positive pressure in the fingers through the use of a proportional air-pressure regulator. It is experimentally shown that the proposed soft gripper can mo…
The stiffness modulation mechanism for soft robotics has gained considerable attention to improve deformability, controllability, and stability. However, for the existing stiffness soft actuator, high lateral stiffness and a wide range of bending stiffness are hard to be provided at the same time. This paper presents a bioinspired bidirectional stiffening soft actuator (BISA) combining the air-tendon hybrid actuation (ATA) and a bone-like structure (BLS). The ATA is the main actuation of the BISA, and the bending stiffness can be modulated with a maximum stiffness of about 0.7 N/mm and a maxim…
Quantitative Hardness Assessment with Vision-based Tactile Sensing for Fruit Classification and Grasping
Hong Kong Center for Construction Robotics(香港建设机器人中心);The Hong Kong University of Science and Technology(香港理工大学);Daimon Robotics(达梦机器人);School of Engineering(工程学院);Great Bay University(大湾大学)
We present a self-contained, soft robotic hand composed of soft pneumatic actuator modules that are equipped with strain and pressure sensing. We show how this data can be used to discern whether a grasp was successful. Co-locating sensing and embedded computation with the actuators greatly simplifies control and system integration. Equipped with a small pump, the hand is self-contained and needs only power and data supplied by a single USB connection to a PC. We demonstrate its function by grasping a variety of objects ranging from very small to large and heavy objects weighing more than the …
Harbin Engineering University(哈尔滨工程大学);College of Mechanical and Electrical Engineering, Harbin Engineering University(哈尔滨工程大学机电工程学院)
A new fluid-driven soft robot hand in this study uses the idea of the bionics and has the anthropomorphic form, which is oriented to the flexible grasp function. The soft robot hand is composed of a new kind of multi-freedom soft finger and soft palm, which realizes the characteristic grasping function of forehand and backhand. Combined with the fine fluid control system, the soft hand can realize flexible grasping under high pressure, so as to realize flexible grasping operation for different types of target objects in the underwater environment. The soft robot hand was controlled based on wa…
Source-Free Bistable Fluidic Gripper for Size-Selective and Stiffness-Adaptive Grasping
Advanced Robotics Centre, National University of Singapore(新加坡国立大学先进机器人中心);Department of Electrical and Computer Engineering, National University of Singapore(新加坡国立大学电子与计算机工程系)
Everything-Grasping (EG) Gripper: A Universal Gripper with Synergistic Suction-Grasping Capabilities for Cross-Scale and Cross-State Manipulation
Department of Mechanical Engineering, University of California, Berkeley(加州大学伯克利分校机械工程系);Department of Biomedical Engineering, The Chinese University of Hong Kong(香港中文大学生物医学工程系);Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong(香港中文大学机械与自动化工程系);Multi-scale Medical Robotics Center, Hong Kong, China(香港医学机器人多尺度中心);Department of Agricultural and Biological Engineering, Purdue University(普渡大学农业与生物工程系)
Magnetic Tactile-Driven Soft Actuator for Intelligent Grasping and Firmness Evaluation
Soft BioRobotics Perception Lab, Istituto Italiano di Tecnologia (IIT)(软生物机器人感知实验室,意大利技术研究院);The BioRobotics Institute, Scuola Superiore Sant’Anna (SSSA)(生物机器人研究所,圣安娜高等学院);Department of Haptic Intelligence, CVTE Guangzhou Shiyuan Electronics Co., Ltd(触觉智能部门,广州世渊电子有限公司);Università degli Studi di Genova (UniGe)(热那亚大学)
Compared to traditional rigid robotics, soft robotics has attracted increasing attention due to its advantages as compliance, safety, and low cost. As an essential part of soft robotics, the soft robotic gripper also shows its superior while grasping the objects with irregular shapes. Recent research has been conducted to improve its grasping performance by adjusting the variable effective length (VEL). However, the VEL achieved by multi-chamber design or tunable stiffness shape memory material requires complex pneumatic circuit design or a time-consuming phase-changing process. This work prop…
DePaul University(德保罗大学);University of Arkansas(阿肯色大学);Clemson University(克莱姆森大学)
We propose a novel tri-fingered soft robotic gripper with decoupled stiffness and shape control capability for performing adaptive grasping with minimum system complexity. The proposed soft fingers adaptively conform to object shapes facilitating the handling of objects of different types, shapes, and sizes. Each soft gripper finger has an inextensible articulable backbone and is actuated by pneumatic muscles. We derive a kinematic model of the gripper and use an empirical approach to map input pressures to stiffness and bending deformation of fingers. We use these mappings to achieve decouple…
TacFinRay: Soft Tactile Fin-Ray Finger with Indirect Tactile Sensing for Robust Grasping
Graduate School of Data Science at Kyungpook National University(Kyungpook National University 数据科学研究生院);University of Bristol(布里斯托大学);Bristol Robotics Laboratory(布里斯托机器人实验室)
Hybrid Robotic Meta-gripper for Tomato Harvesting: Analysis of Auxetic Structures with Lattice Orientation Variations
Tohoku University, Japan(东京东京大学);Delft University of Technology (TU Delft), the Netherlands(代尔夫特理工大学);Indian Institute of Technology Kanpur (IIT Kanpur), India(印度理工学院坎浦尔分校)
Adaptive and Multi-object Grasping via Deformable Origami Modules
Singapore MIT Alliance for Research and Technology (SMART) centre(新加坡-麻省理工联合研究与技术中心);Department of Mechanical Engineering, National University of Singapore(国立新加坡大学机械工程系)
University of Bristol(布里斯托大学);Shadow Robotics Company(影子机器人公司);Aristotle University of Thessaloniki(塞萨洛尼基亚里士多德大学)
This paper proposes a controller for stable grasping of unknown-shaped objects by two robotic fingers with tactile fingertips. The grasp is stabilised by rolling the fingertips on the contact surface and applying a desired grasping force to reach an equilibrium state. The validation is both in simulation and on a fully-actuated robot hand (the Shadow Modular Grasper) fitted with custom-built optical tactile sensors (based on the BRL TacTip). The controller requires the orientations of the contact surfaces, which are estimated by regressing a deep convolutional neural network over the tactile i…
OPENGRASP-LITE Version 1.0: A Tactile Artificial Hand with a Compliant Linkage Mechanism
Technical University of Munich(慕尼黑工业大学);TUM School of Computation, Information and Technology (CIT)(慕尼黑工业大学计算、信息与技术学院);Munich Institute of Robotics and Machine Intelligence (MIRMI)(慕尼黑机器人与机器智能研究所);the Centre for Tactile Internet with Human-in-the-Loop (CeTI)(以人为中心的触觉互联网中心)
University of Bristol(布里斯托大学);University of Pisa(比萨大学);Istituto Italiano di Tecnologia(意大利技术研究院)
This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors provide high-resolution information about a grasp and how the fingers interact with held objects. We first describe a series of hardware developments for performing asynchronous sensor data acquisition and processing, resulting in a fast control loop sufficient for real-time grasp control. We then develop a novel grasp controller that uses tactile feedback from all…
Realizing high-performance soft robotic grippers is challenging because of the inherent limitations of the soft actuators and artificial muscles that drive them, including low force output, small actuation range, and poor compactness. Despite advances in this area, realizing compact soft grippers with high dexterity and force output is still challenging. This paper explores twisted string actuators (TSAs) to drive a soft robotic gripper. TSAs have been used in numerous robotic applications, but their inclusion in soft robots has been limited. The proposed design of the gripper was inspired by …
Temperature Driven Multi-modal/Single-actuated Soft Finger
Graduate School of Engineering Science, Osaka University(大阪大学工程科学研究生院);National Institute of Advanced Industrial Science and Technology (AIST)(日本国立先进工业科学技术研究院(AIST))
We present a user-friendly interface to teleoperate a soft robot manipulator in a complex environment. Key components of the system include a manipulator with a grasping end-effector that grows via tip eversion, gesture-based control, and haptic display to the operator for feedback and guidance. In the initial work, the operator uses the soft robot to build a tower of blocks, and future works will extend this to shared autonomy scenarios in which the human operator and robot intelligence are both necessary for task completion.
The design and fabrication of soft robot hands is still a time-consuming and difficult process. Advances in rapid prototyping have accelerated the fabrication process significantly while introducing new complexities into the design process. In this work, we present an approach that utilizes novel low-cost fabrication techniques in conjunction with design tools helping soft hand designers to systematically take advantage of multi-material 3D printing to create dexterous soft robotic hands. While very low cost and lightweight, we show that generated designs are highly durable, surprisingly stron…
SoFiE: Soft Finger Exoskeleton for Intelligent Grasping
SDU Soft Robotics, SDU Biorobotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU)(SDU柔性机器人实验室、SDU生物机器人实验室、马士基麦金尼莫勒研究所、南丹麦大学)
National University of Singapore(新加坡国立大学);Nanyang Technological University(南洋理工大学)
Grasping is an essential capability for most robots in practical applications. Soft robotic grippers are considered as a critical part of robotic grasping and have attracted considerable attention in terms of the advantages of the high compliance and robustness to variance in object geometry; however, they are still limited by the corresponding sensing capabilities and actuation mechanisms. We propose a novel soft gripper that looks like a granary with a compliant snap-through bistable mechanism fabricated by integrated mold technology, achieving sensing and actuation purely mechanically. In p…
Southern University of Science and Technology(南方科技大学);University of Hong Kong(香港大学)
Over the past few decades, efforts have been made towards robust robotic grasping, and therefore dexterous manipulation. The soft gripper has shown their potential in robust grasping due to their inherent properties-low, control complexity, and high adaptability. However, the deformation of the soft gripper when interacting with objects bring inaccuracy of grasped objects, which causes instability for robust grasping and further manipulation. In this paper, we present an omni-directional adaptive soft finger that can sense deformation based on embedded optical fibers and the application of mac…
Hybrid Soft Electrostatic Metamaterial Gripper for Multi-surface, Multi-object Adaptation
Empa - Swiss Federal Laboratories for Materials Science and Technology(瑞士联邦材料科学与技术实验室(Empa));École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院);Imperial College London(帝国理工学院);Commonwealth Scientific and Industrial Research Organisation (CSIRO)(英联邦科学与工业研究组织(CSIRO))
University of Hong Kong(香港大学);Southern University of Science and Technology(南方科技大学);SUSTech Institute of Intelligent Manufacturing(南方科技大学智能制造研究院)
This paper presents a novel design of a soft tactile finger with omni-directional adaptation using multi-channel optical fibers for rigid-soft interactive grasping. Machine learning methods are used to train a model for real-time prediction of force, torque, and contact using the tactile data collected. We further integrated such fingers in a reconfigurable gripper design with three fingers so that the finger arrangement can be actively adjusted in real-time based on the tactile data collected during grasping, achieving the process of rigid-soft interactive grasping. Detailed sensor calibratio…
This paper proposes a novel pneumatic soft robotic hand that incorporates a mechanism that can switch the airflow path using a single airflow control. The developed hand can control the finger motion and operate the surface friction variable mechanism. In the friction variable mechanism, a lubricant is injected onto the high-friction finger surface to reduce surface friction. To inject the lubrication using a positive-pressure airflow, the Venturi effect is applied. The design and evaluation of the airflow-path switching and friction variable mechanisms are described. Moreover, the entire desi…
Rigid grippers used in existing aerial manipulators require precise positioning to achieve successful grasps and transmit large contact forces that may destabilize the drone. This limits the speed during grasping and prevents "dynamic grasping", where the drone attempts to grasp an object while moving. On the other hand, biological systems (e.g., birds) rely on compliant and soft parts to dampen contact forces and compensate for grasping inaccuracy, enabling impressive feats. This paper presents the first prototype of a soft drone -- a quadrotor where traditional (i.e., rigid) landing gears ar…
Soft robotic systems present a variety of new opportunities for solving complex problems. The use of soft robotic grippers, for example, can simplify the complexity in tasks such as the of grasping irregular and delicate objects. Adoption of soft robotics by academia and industry, however, has been slow and this is, in-part, due to the amount of hardware and software that must be developed from scratch for each use of soft system components. In this paper we detail the design, fabrication and validation of an open-source framework that we designed to lower the barrier to entry for integrating …
Introducing Environmental Constraints to Grasping Strategies for Paper-Like Flexible Materials Using a Soft Gripper
College of Mechanical and Electrical Engineering, Nanjing University(南京大学机械与电子工程学院);Jiangsu Key Laboratory of Bionic Materials and Equipment, Nanjing University of Aeronautics and Astronautics(江苏生物材料与设备重点实验室,南京航空航天大学)