This paper investigates the use of artificial neural networks(ANNs)as a viable digital twin or alternative to the typical whispering gallery mode(WGM)optical sensors in engineering systems,especially in dynamic enviro...
the National Natural Science Foundation of China(No.62173230);the Program of Science and Technology Commission of Shanghai Municipality(No.22511101400)。
Robot grasp detection is a fundamental vision task for robots.Deep learning-based methods have shown excellent results in enhancing the grasp detection capabilities for model-free objects in unstructured scenes.Most p...
This research paper introduces a soft VR glove that enhances how users interact with virtual objects. It seamlessly integrates discrete modules for sensing and providing haptic feedback, encompassing tactile and kinae...
funded by the University of Economics Ho Chi Minh City-UEH,Vietnam.
In robotics and human-robot interaction,a robot’s capacity to express and react correctly to human emotions is essential.A significant aspect of the capability involves controlling the robotic facial skin actuators i...
supported by the National Natural Science Foundation of China(No.U20A20294);the National Natural Science Foundation of China(No.52322511);the National Natural Science Foundation of China(No.52188102).
Low-frequency structural vibrations caused by poor rigidity are one of the main obstacles limiting the machining efficiency of robotic milling.Existing vibration suppression strategies primarily focus on passive vibra...
supported by the National Cancer Institute(T32,CA 236621-5).
Annular pancreas is a rare congenital anomaly formed by a thin band of pancreatic tissue that encircles the descending duodenum and leads to partial or complete obstruction.Annular pancreas is estimated to occur in le...
Addressing the existing gap in ethical research surrounding distinct technical characteristics of Robotic Process Automation enhanced with Artificial Intelligence (AI-RPA), this analysis examines the unique ethical di...
supported by the National Natural Science Foundation of China(Grant Nos.62176037,62002043,42301380);Dalian Science and Technology Innovation Fund(Grant Nos.2018J12GX037,2019J11CY001,2021JJ12GX028);Liaoning Revitalization Talents Program(Grant No.XLYC1908007);the Foundation of Liaoning Key Research and Development Program(Grant No.201801728)。
In the realm of underwater robotics,optical imaging plays a pivotal role in many scientific researches.Due to the effects of absorption and scattering,images captured in turbid water are severely degraded.Therefore,en...
The paper presents a fuzzy Q-learning(FQL)and optical flow-based autonomous navigation approach.The FQL method takes decisions in an unknown environment and without mapping,using motion information and through a reinf...