Recent advancements in agriculture robots: Benefits and challenges

C Cheng, J Fu, H Su, L Ren - Machines, 2023 - mdpi.com
In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …

[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits

C Tian, Z Xu, L Wang, Y Liu - Mathematical Biosciences and …, 2023 - aimspress.com
This systematic review aims to investigate recent developments in the area of arc fault
detection. The rising demand for electricity and concomitant expansion of energy systems …

Pneumatic soft robots: Challenges and benefits

H Su, X Hou, X Zhang, W Qi, S Cai, X Xiong, J Guo - Actuators, 2022 - mdpi.com
In the field of robotics, soft robots have been showing great potential in the areas of medical
care, education, service, rescue, exploration, detection, and wearable devices due to their …

A human activity-aware shared control solution for medical human–robot interaction

H Su, W Qi, Y Schmirander, SE Ovur, S Cai… - Assembly …, 2022 - emerald.com
Purpose The purpose of this paper is to develop a human activity-aware adaptive shared
control solution for human–robot interaction in surgical operation. Hands-on control and …

A survey of brain-inspired intelligent robots: Integration of vision, decision, motion control, and musculoskeletal systems

H Qiao, J Chen, X Huang - IEEE Transactions on Cybernetics, 2021 - ieeexplore.ieee.org
Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …

Development and control of underwater gliding robots: A review

J Wang, Z Wu, H Dong, M Tan… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
As one of the most effective vehicles for ocean development and exploration, underwater
gliding robots (UGRs) have the unique characteristics of low energy consumption and strong …

Brain-inspired intelligent robotics: Theoretical analysis and systematic application

H Qiao, YX Wu, SL Zhong, PJ Yin, JH Chen - Machine Intelligence …, 2023 - Springer
Traditional joint-link robots have been widely used in production lines because of their high
precision for single tasks. With the development of the manufacturing and service industries …

Neural manifold modulated continual reinforcement learning for musculoskeletal robots

J Chen, Z Chen, C Yao, H Qiao - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The continual learning and development are significant for robots to learn multiple tasks
sequentially. The difficulty lies in balancing the efficient learning of new tasks and …

The snake-inspired robots: a review

X Yang, L Zheng, D Lü, J Wang, S Wang, H Su… - Assembly …, 2022 - emerald.com
Purpose Snake-inspired robots are of great significance in many fields because of their
great adaptability to the environment. This paper aims to systematically illustrate the …

Deep echo state network with multiple adaptive reservoirs for time series prediction

Z Wang, X Yao, Z Huang, L Liu - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this article, considering the plasticity of reservoir, a deep echo state network with multiple
adaptive reservoirs in series configuration, called MAR-DESN, is proposed for time series …