摘要
基于弹性、软质材料的软体机器人变形能力强、人-机-环境共融性好,在工业、医疗、家庭服务等众多领域具有良好的应用前景。软体机器人是本体、驱动、感知等高度集成的新型机电一体化智能系统。软体机器人呈现的诸多新特征给机器人领域的制造、驱动、建模、感知及控制等技术带来了全新的挑战。软质材料3D打印技术与装备的快速发展为软体机器人制造实现提供了有力支撑。首先,介绍了主流软质材料3D打印技术的基本原理与特点,包括熔融沉积成形、直接墨水书写、喷墨打印、光固化成型和选择性激光烧结3D打印技术。然后,针对软体机器人一体化制造发展需求,介绍了多材料3D打印、4D打印、嵌入式3D打印等前沿技术。最后,介绍和分析了国内外基于3D打印技术的软体驱动器和柔性传感器经典案例,结合控制-传感-驱动一体化的类生物结构软体机器人发展需求,预测了未来3D打印技术主要发展趋势与技术挑战。
Soft robots based on elastic and soft materials have strong deformation ability and good human-machine-environment integration,and have good application prospects in many fields such as industry,medical treatment,and home service.Software robot is a new type of highly integrated mechatronics intelligent system such as ontology,drive and perception.Many new features presented by soft robots bring new challenges to manufacturing,driving,modeling,sensing and control technologies in the field of robotics.The rapid development of 3D printing technology and equipment for soft materials has provided favorable support for the realization of software robot manufacturing.First,the basic principles and characteristics of mainstream soft material 3D printing technology are introduced,including fused deposition modelling,direct ink writing,inkjet printing,stereo lithography and selective laser sintering 3D printing technology.Then,in response to the development needs of software robot integrated manufacturing,multi-material 3D printing,4D printing,embedded 3D printing and other cutting-edge technologies were introduced.Finally,introduced and analyzed the classic cases of software drivers and flexible sensors based on 3D printing technology at home and abroad,combined with the development needs of control-sensing-drive integrated biostructure-like soft robots,and forecasted the main development trends and technologies of 3D printing technology in the future challenge.
作者
王永青
邓建辉
李特
刘阔
刘海波
马书根
WANG Yongqing;DENG Jianhui;LI Te;LIU Kuo;LIU Haibo;MA Shugen(Key Laboratory for Precision&Non-traditional Machining of Ministry of Education,Dalian University of Technology,Dalian 116024;Department of Robotics,Ritsumeikan University,Shiga-ken 525-8577,Japan)
出处
《机械工程学报》
EI
CAS
CSCD
北大核心
2021年第15期186-198,共13页
Journal of Mechanical Engineering
基金
国家自然科学基金(51805071)
中央高校基本科研业务费(DUT18RC(3)073)
大连市人才专项计划(2019RQ026)资助项目。