[HTML][HTML] Arc fault detection using artificial intelligence: Challenges and benefits
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 …
detection. The rising demand for electricity and concomitant expansion of energy systems …
Pneumatic soft robots: Challenges and benefits
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 …
care, education, service, rescue, exploration, detection, and wearable devices due to their …
[HTML][HTML] An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming
Playing games between humans and robots have become a widespread human–robot
confrontation (HRC) application. Although many approaches were proposed to enhance the …
confrontation (HRC) application. Although many approaches were proposed to enhance the …
Recent developments of actuation mechanisms for continuum robots: a review
IA Seleem, H El-Hussieny, H Ishii - International Journal of Control …, 2023 - Springer
Traditional rigid robots face significant challenges in congested and tight environments,
including bulky size, maneuverability, and safety limitations. Thus, soft continuum robots …
including bulky size, maneuverability, and safety limitations. Thus, soft continuum robots …
Neural manifold modulated continual reinforcement learning for musculoskeletal robots
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 …
sequentially. The difficulty lies in balancing the efficient learning of new tasks and …
[HTML][HTML] Implementing monocular visual-tactile sensors for robust manipulation
R Li, B Peng - Cyborg and Bionic Systems, 2022 - spj.science.org
Tactile sensing is an essential capability for robots performing manipulation tasks. In this
paper, we introduce a framework to build a monocular visual-tactile sensor for robotic …
paper, we introduce a framework to build a monocular visual-tactile sensor for robotic …
Exploring the potential of fuzzy sets in cyborg enhancement: a comprehensive review
In an era marked by the rapid advancement of information technology, individuals now have
the ability to enhance their organic bodies with mechanical and computational devices …
the ability to enhance their organic bodies with mechanical and computational devices …
Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback
This paper proposes a new observer-based bounded adaptive fuzzy controller for robotic
manipulators with a prescribed performance subjected to uncertainties. To this end, interval …
manipulators with a prescribed performance subjected to uncertainties. To this end, interval …
High-precision trajectory tracking control for free-flying space manipulators with multiple constraints and system uncertainties
G Tian, B Li, Q Zhao, G Duan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Precise motion control for free-flying space manipulators (FFSMs) plays an important role in
space missions. However, system uncertainties and various physical constraints severely …
space missions. However, system uncertainties and various physical constraints severely …
A family of RCM mechanisms: type synthesis and kinematics analysis
Z Wang, W Zhang, X Ding - International Journal of Mechanical Sciences, 2022 - Elsevier
The remote center-of-motion (RCM) mechanism plays an important role in surgery robotics,
exoskeleton robots, haptic devices, pointing mechanisms and so on because of the …
exoskeleton robots, haptic devices, pointing mechanisms and so on because of the …