{"title":"机器人柔性夹持器的拓扑形状尺寸优化设计与综合:综述与展望","authors":"Thanh-Phong Dao , Hieu Giang Le , Nhat Linh Ho","doi":"10.1016/j.robot.2025.105106","DOIUrl":null,"url":null,"abstract":"<div><div>Compliant grippers have been playing a critically important role in robotics and autonomous systems. This review explores the utilization of topology, shape, and size optimization strategies in the conceptualization and advancement of compliant grippers. More than the two last decades, it highlights significant progress in structural optimization techniques and their application within compliant gripper synthesis. The core methodologies include topology optimization for effective material distribution, shape optimization for refining geometries, and size optimization for enhancing dimensional efficiency. Such these design methods are analyzed alongside their computational complexities and real-world applications. Additionally, this review examines emerging trends such as hybrid optimization approaches and their capacity to address multi-objective challenges. By providing a detailed synthesis, this paper offers a valuable resource for engineers and researchers, shedding light on existing constraints and outlining prospective avenues for innovation in the design advancement and structural optimization of compliant grippers for the robotic and automation industry.</div></div>","PeriodicalId":49592,"journal":{"name":"Robotics and Autonomous Systems","volume":"193 ","pages":"Article 105106"},"PeriodicalIF":5.2000,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Topology-shape-size optimization design synthesis of compliant grippers for robotics: A comprehensive review and prospective advances\",\"authors\":\"Thanh-Phong Dao , Hieu Giang Le , Nhat Linh Ho\",\"doi\":\"10.1016/j.robot.2025.105106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Compliant grippers have been playing a critically important role in robotics and autonomous systems. This review explores the utilization of topology, shape, and size optimization strategies in the conceptualization and advancement of compliant grippers. More than the two last decades, it highlights significant progress in structural optimization techniques and their application within compliant gripper synthesis. The core methodologies include topology optimization for effective material distribution, shape optimization for refining geometries, and size optimization for enhancing dimensional efficiency. Such these design methods are analyzed alongside their computational complexities and real-world applications. Additionally, this review examines emerging trends such as hybrid optimization approaches and their capacity to address multi-objective challenges. By providing a detailed synthesis, this paper offers a valuable resource for engineers and researchers, shedding light on existing constraints and outlining prospective avenues for innovation in the design advancement and structural optimization of compliant grippers for the robotic and automation industry.</div></div>\",\"PeriodicalId\":49592,\"journal\":{\"name\":\"Robotics and Autonomous Systems\",\"volume\":\"193 \",\"pages\":\"Article 105106\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2025-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Robotics and Autonomous Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0921889025002039\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Robotics and Autonomous Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921889025002039","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Topology-shape-size optimization design synthesis of compliant grippers for robotics: A comprehensive review and prospective advances
Compliant grippers have been playing a critically important role in robotics and autonomous systems. This review explores the utilization of topology, shape, and size optimization strategies in the conceptualization and advancement of compliant grippers. More than the two last decades, it highlights significant progress in structural optimization techniques and their application within compliant gripper synthesis. The core methodologies include topology optimization for effective material distribution, shape optimization for refining geometries, and size optimization for enhancing dimensional efficiency. Such these design methods are analyzed alongside their computational complexities and real-world applications. Additionally, this review examines emerging trends such as hybrid optimization approaches and their capacity to address multi-objective challenges. By providing a detailed synthesis, this paper offers a valuable resource for engineers and researchers, shedding light on existing constraints and outlining prospective avenues for innovation in the design advancement and structural optimization of compliant grippers for the robotic and automation industry.
期刊介绍:
Robotics and Autonomous Systems will carry articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.
Robotics and Autonomous Systems will carry articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems.