A Survey on Robotic Prosthetics: Neuroprosthetics, Soft Actuators, and Control Strategies

被引:7
作者
Jyothish, K. J. [1 ,2 ]
Mishra, Subhankar [1 ,2 ]
机构
[1] Natl Inst Sci Educ & Res, Bhubaneswar 752050, Odisha, India
[2] HBNI, OCC, Mumbai, Maharashtra, India
关键词
Robotic prosthetics; neuroprosthetics; soft robotics; electroactive polymer; EMG; HMI; TARGETED MUSCLE REINNERVATION; BRAIN-COMPUTER INTERFACE; MEMORY ALLOY; ELECTRICAL-STIMULATION; TACTILE SENSORS; IONIC LIQUID; SYSTEM; SHAPE; COMPOSITES; DESIGN;
D O I
10.1145/3648355
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The field of robotics is a quickly evolving feat of technology that accepts contributions from various genres of science. Neuroscience, Physiology, Chemistry, Material science, Computer science, and the wide umbrella of mechatronics have all simultaneously contributed to many innovations in the prosthetic applications of robotics. This review begins with a discussion of the scope of the term robotic prosthetics and discusses the evolving domain of Neuroprosthetics. The discussion is then constrained to focus on various actuation and control strategies for robotic prosthetic limbs. This review discusses various soft robotic actuators such as EAP, SMA, FFA, and so on, and the merits of such actuators over conventional hard robotic actuators. Options in control strategies for robotic prosthetics, that are in various states of research and development, are reviewed. This article concludes the discussion with an analysis regarding the prospective direction in which this field of robotic prosthetics is evolving in terms of actuation, control, and other features relevant to artificial limbs. This article intends to review some of the emerging research and development trends in the field of robotic prosthetics and summarize many tangents that are represented under this broad domain in an approachable manner.
引用
收藏
页数:44
相关论文
共 215 条
[1]  
accessibleweb, Assistive Technology Focus: Sip and Puff Devices | Accessible Web
[2]  
Adewole Dayo O., 2016, Critical Reviews in Biomedical Engineering, V44, P123, DOI [10.1615/critrevbiomedeng.2016017198, 10.1615/CritRevBiomedEng.2016017198]
[3]   Development of nanoparticle film-based multi-axial tactile sensors for biomedical applications [J].
Alvares, Darren ;
Wieczorek, Lech ;
Raguse, Burkhard ;
Ladouceur, Francois ;
Lovell, Nigel H. .
SENSORS AND ACTUATORS A-PHYSICAL, 2013, 196 :38-47
[4]  
Annabestani M, 2019, Arxiv, DOI [arXiv:1904.07149, 10.48550/arXiv.1904.07149, DOI 10.48550/ARXIV.1904.07149]
[5]  
[Anonymous], 2010, Ocular Disease, DOI DOI 10.1016/B978-0-7020-2983-7.X0001-0
[6]  
[Anonymous], 2012, Biomedinova
[7]  
[Anonymous], 2010, Statistical Signal Processing for Neuroscience and Neurotechnology, DOI DOI 10.1016/C2009-0-20215-7
[8]  
[Anonymous], 2017, Standards for Prosthetics and Orthotics
[9]  
Antfolk C, 2013, EXPERT REV MED DEVIC, V10, P45, DOI [10.1586/erd.12.68, 10.1586/ERD.12.68]
[10]   DAvinCi: A Cloud Computing Framework for Service Robots [J].
Arumugam, Rajesh ;
Enti, Vikas Reddy ;
Liu Bingbing ;
Wu Xiaojun ;
Baskaran, Krishnamoorthy ;
Kong, Foong Foo ;
Kumar, A. Senthil ;
Meng, Kang Dee ;
Kit, Goh Wai .
2010 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2010, :3084-3089