Artificial neuron devices

K He, C Wang, Y He, J Su, X Chen - Chemical Reviews, 2023 - ACS Publications
Efforts to design devices emulating complex cognitive abilities and response processes of
biological systems have long been a coveted goal. Recent advancements in flexible …

[HTML][HTML] Robot learning towards smart robotic manufacturing: A review

Z Liu, Q Liu, W Xu, L Wang, Z Zhou - Robotics and Computer-Integrated …, 2022 - Elsevier
Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …

Soft magnetic skin for super-resolution tactile sensing with force self-decoupling

Y Yan, Z Hu, Z Yang, W Yuan, C Song, J Pan… - Science Robotics, 2021 - science.org
Human skin can sense subtle changes of both normal and shear forces (ie, self-decoupled)
and perceive stimuli with finer resolution than the average spacing between …

Microengineering pressure sensor active layers for improved performance

SRA Ruth, VR Feig, H Tran… - Advanced Functional …, 2020 - Wiley Online Library
Pressure sensors play an integral role in a wide range of applications, such as soft robotics
and health monitoring. In order to meet this demand, many groups microengineer the active …

Modeling, learning, perception, and control methods for deformable object manipulation

H Yin, A Varava, D Kragic - Science Robotics, 2021 - science.org
Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

An open‐environment tactile sensing system: toward simple and efficient material identification

X Wei, B Wang, Z Wu, ZL Wang - Advanced Materials, 2022 - Wiley Online Library
Robotic perception can have simple and effective sensing functions that are unreachable for
humans using only the isolated tactile perception method, with the assistance of a …

The neural mechanisms of manual dexterity

AR Sobinov, SJ Bensmaia - Nature Reviews Neuroscience, 2021 - nature.com
The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as grasping to extraordinary ones such as virtuoso …

Shape-programmable, deformation-locking, and self-sensing artificial muscle based on liquid crystal elastomer and low–melting point alloy

H Liu, H Tian, X Li, X Chen, K Zhang, H Shi… - Science …, 2022 - science.org
An artificial muscle capable of shape programmability, deformation-locking capacity without
needing continuous external energy, and self-sensing capability is highly desirable yet …

Towards human-level bimanual dexterous manipulation with reinforcement learning

Y Chen, T Wu, S Wang, X Feng… - Advances in …, 2022 - proceedings.neurips.cc
Achieving human-level dexterity is an important open problem in robotics. However, tasks of
dexterous hand manipulation even at the baby level are challenging to solve through …

Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning

J Hua, L Zeng, G Li, Z Ju - Sensors, 2021 - mdpi.com
Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …