Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons

Article Properties
  • Publication Date
    2018/02/23
  • Indian UGC (journal)
  • Refrences
    23
  • Citations
    36
  • Clemente Lauretti
  • Francesca Cordella
  • Anna Lisa Ciancio
  • Emilio Trigili
  • Jose Maria Catalan
  • Francisco Javier Badesa
  • Simona Crea
  • Silvio Marcello Pagliara
  • Silvia Sterzi
  • Nicola Vitiello
  • Nicolas Garcia Aracil
  • Loredana Zollo
Cite
Lauretti, Clemente, et al. “Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons”. Frontiers in Neurorobotics, vol. 12, 2018, https://doi.org/10.3389/fnbot.2018.00005.
Lauretti, C., Cordella, F., Ciancio, A. L., Trigili, E., Catalan, J. M., Badesa, F. J., Crea, S., Pagliara, S. M., Sterzi, S., Vitiello, N., Garcia Aracil, N., & Zollo, L. (2018). Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons. Frontiers in Neurorobotics, 12. https://doi.org/10.3389/fnbot.2018.00005
Lauretti C, Cordella F, Ciancio AL, Trigili E, Catalan JM, Badesa FJ, et al. Learning by Demonstration for Motion Planning of Upper-Limb Exoskeletons. Frontiers in Neurorobotics. 2018;12.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Upper-limb kinematic reconstruction during stroke robot-aided therapy Medical & Biological Engineering & Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Technology: Engineering (General). Civil engineering (General)
11 2015
Multimodal integration learning of robot behavior using deep neural networks Robotics and Autonomous Systems
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
82 2014
Upper limb evaluation with robotic exoskeleton. Normative values for indices of accuracy, speed and smoothness NeuroRehabilitation
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system
  • Medicine: Internal medicine: Special situations and conditions: Sports medicine
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
2013
Dynamical movement primitives: learning attractor models for motor behaviors Neural Computation
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2013
Redundancy resolution of the human arm and an upper limb exoskeleton 2012
Citations
Title Journal Journal Categories Citations Publication Date
Adaptation of hand exoskeletons for occupational augmentation: A literature review Robotics and Autonomous Systems
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
A New DMP Scaling Method for Robot Learning by Demonstration and Application to the Agricultural Domain IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
Learning human inverse kinematics solutions for redundant robotic upper-limb rehabilitation Engineering Applications of Artificial Intelligence
  • Technology: Mechanical engineering and machinery
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2023
Learning cost action planning models with perfect precision via constraint propagation Information Sciences
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Science (General): Cybernetics: Information theory
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Trajectory Learning by Therapists' Demonstrations for an Upper Limb Rehabilitation Exoskeleton IEEE Robotics and Automation Letters 2023
Citations Analysis
Category Category Repetition
Technology: Mechanical engineering and machinery16
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics16
Technology: Engineering (General). Civil engineering (General)16
Science: Mathematics: Instruments and machines: Electronic computers. Computer science10
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks9
Technology: Technology (General): Industrial engineering. Management engineering7
Science: Chemistry6
Technology: Chemical technology6
Science: Biology (General)4
Science: Physics4
Science: Chemistry: General. Including alchemy4
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials4
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry4
Science: Mathematics3
Science: Science (General): Cybernetics: Information theory3
Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication3
Medicine: Medicine (General): Medical technology3
Medicine: Internal medicine: Special situations and conditions: Sports medicine3
Science: Science (General)3
Technology: Electrical engineering. Electronics. Nuclear engineering2
Science: Chemistry: Analytical chemistry2
Science: Mathematics: Instruments and machines2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology2
Technology: Manufactures2
Medicine1
Science1
The category Technology: Mechanical engineering and machinery 16 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bio-Cooperative Approach for the Human-in-the-Loop Control of an End-Effector Rehabilitation Robot and was published in 2018. The most recent citation comes from a 2024 study titled A New DMP Scaling Method for Robot Learning by Demonstration and Application to the Agricultural Domain. This article reached its peak citation in 2021, with 9 citations. It has been cited in 26 different journals, 30% of which are open access. Among related journals, the Applied Sciences cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year