A5027438996- Building Energy and Comfort Optimization
- Thermoregulation and physiological responses
- Urban Heat Island Mitigation
- Climate Change and Health Impacts
- Color perception and design
- Soft Robotics and Applications
- Prosthetics and Rehabilitation Robotics
- Noise Effects and Management
- Technology and Security Systems
- Smart Grid and Power Systems
- Color Science and Applications
- Robot Manipulation and Learning
- Visual perception and processing mechanisms
- Real-time simulation and control systems
- Control and Dynamics of Mobile Robots
- Sleep and related disorders
- Autonomous Vehicle Technology and Safety
- Photonic and Optical Devices
- Optical Coatings and Gratings
- Refrigeration and Air Conditioning Technologies
- Solar Energy Systems and Technologies
- Hand Gesture Recognition Systems
- Power Line Inspection Robots
- Infrared Thermography in Medicine
- Magnetic confinement fusion research
Chongqing University
2023-2024
Hohai University
2024
Bristol Robotics Laboratory
2022-2024
University of the West of England
2022-2024
Qingdao University of Technology
2020-2022
Qingdao University of Science and Technology
2021-2022
North China Electric Power University
2016
Learning from demonstration (LfD) is a practical method for transferring skill knowledge human demonstrator to robot. Several studies have shown the effectiveness of LfD in robotic grasping tasks improve success rate and accelerate development new tasks. A well-designed device can effectively represent motion transfer skills robots. In this paper, an improved gripper-like exoskeleton with data collection system proposed. First, we present mechatronic details its motion-tracking system,...
Learning from demonstration (LfD) has been developed and proved to be a promising method for transferring skill knowledge human robot. It is desired have device that can effectively map demonstrations the robot's motion compensate correspondence problem in LfD. Thus, we presented novel design of gripper-like exoskeleton robotic grasping based on Demonstration. The collected displacement its grippers, position, posture information demonstration. This paper first mechatronic then described...
This paper proposes a new type of circuit breaker mechanical characteristic test method, which breaks through the former "contact" sensing technology.It adopts technique multi-data fusion, combines with electrical, sound and vibration, studies characteristics represented by various in this kind "trinity" method.This method can provide more effective way for fault diagnosis institutions, promote development online detection work breaker.
For circuit breaker failure state is difficult to identify quickly, this paper put forward a rapid recognition method of status based on wavelet packet decomposition and Support Vector Machine(SVM).After db3 decomposition, the extracted vibration signal has two-stage classification in SVM will be quickly identified.The experimental results show that system can improve speed fault diagnosis effectively without reducing accuracy.