Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides
By Kevin W. O'Brien, Sijie Li, Robert F. Shepherd. Science Robotics, 2016
856 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Cellular and Molecular Neuroscience
View Paper: https://www.semanticscholar.org/paper/70c44a842f20ff3c45d74d6e2e6653bcc40ef388
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Cecilia Laschi
- Michael Thomas Tolley
- Zhigang Suo
- Thomas George Thuruthel
- Yong‐Lae Park
- Fumiya Iida
- George M. Whitesides
- Jia Pan
In Cellular and Molecular Neuroscience
Citations in the corpus
- Soft robot perception using embedded soft sensors and recurrent neural networks (2019, background): “Higher accuracy can be obtained with fiber Bragg gratings (21), stretchable optical waveguides (12), and magnetic sensors (22).”
- Challenges and Outlook in Robotic Manipulation of Deformable Objects (2021, background): “Similar goals could be achieved with tactile sensors that are of much lower spatial resolution such as the case [20], when the object geometry is relatively simple and the precision requirement is low.”
- Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain (2018, background): “Novel sensor developments use flexible electronics (10–12), selfhealing (13, 14) and recyclable materials (15), mechanoreceptorinspired elements (16, 17), and even optoelectronic strain sensors (18), which will likely affect the future of prosthetic limbs.”
- A soft, bistable valve for autonomous control of soft actuators (2018, background): “Other useful characteristics of soft actuators and devices include (i) collaborative behavior, that is, intrinsic safety in operating closely with humans (6–8); (ii) the ability to adapt autonomously to different shapes (1, 9); (iii) relatively low cost (6, 8); (iv) ease of sterilization (10); (v) t”
- Electronic skins and machine learning for intelligent soft robots (2020, methodology): “(43) embedded optical sensors within soft pneumatic fingers, which they then integrated with a Baxter robot.”