A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
Advanced Robotics Research, EarlyView.This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
RNA sequence analysis landscape: A comprehensive review of task types, databases, datasets, word embedding methods, and language models. [PDF]
HeliyonAsim MN, Ibrahim MA, Asif T, Dengel A.
europepmc +1 more source
Evaluating keyphrase extraction algorithms for finding similar news articles using lexical similarity calculation and semantic relatedness measurement by word embedding. [PDF]
PeerJ Comput Sci, 2022 Sarwar TB, Noor NM, Saef Ullah Miah M.
europepmc +1 more source
Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots
Advanced Robotics Research, EarlyView.Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley +1 more source
A deep learning framework combined with word embedding to identify DNA replication origins. [PDF]
Sci Rep, 2021 Wu F, Yang R, Zhang C, Zhang L.
europepmc +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Advanced Robotics Research, EarlyView.Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study. [PDF]
J Healthc Inform ResVithanage D, Yu P, Wang L, Deng C.
europepmc +1 more source
An Automated Toxicity Classification on Social Media Using LSTM and Word Embedding.
Comput Intell Neurosci, 2022 Alsharef A +5 more
europepmc +1 more source
Expanding Our Understanding of COVID-19 from Biomedical Literature Using Word Embedding. [PDF]
Int J Environ Res Public Health, 2021 Yang H, Sohn E.
europepmc +1 more source
Advanced Robotics Research, EarlyView.This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka +3 more
wiley +1 more source