- Robotic Mechanisms and Dynamics
- Robotic Path Planning Algorithms
- Advanced Radiotherapy Techniques
- Digital Radiography and Breast Imaging
- Occupational Health and Safety Research
- Iterative Learning Control Systems
- Human-Automation Interaction and Safety
- Grey System Theory Applications
- Risk and Safety Analysis
- Remote Sensing and LiDAR Applications
- Graphene research and applications
- Water Quality Monitoring Technologies
- Robotics and Sensor-Based Localization
- Medical Imaging and Analysis
- Mosquito-borne diseases and control
- Smart Agriculture and AI
- Brain Tumor Detection and Classification
- Big Data Technologies and Applications
- 3D Surveying and Cultural Heritage
- Carbon Nanotubes in Composites
- Energy Load and Power Forecasting
- Fiber-reinforced polymer composites
- Robot Manipulation and Learning
Northeast Forestry University
2015-2024
Ocean University of China
2022
Arkansas Department of Agriculture
2020
John Wiley & Sons (United States)
2020
Hudson Institute
2020
The University of Texas MD Anderson Cancer Center
2020
Stanford University
2014
Wuhan University
2004
The three-dimensional reconstruction of forest ecological environment by low-altitude remote sensing photography from Unmanned Aerial Vehicles (UAVs) provides a powerful basis for the fine surveying resources and management. A stereo vision system, D-SLAM, is proposed to realize simultaneous localization dense mapping UAVs in complex environments. system takes binocular images as input 3D maps target outputs, while sparse camera poses can be obtained. tracking thread utilizes temporal clue...
As a green and clean source of energy, natural gas plays an indispensable role in changing the energy structure reducing greenhouse emissions. In this context, forecasting production becomes particularly important. China, has obvious seasonal cyclical characteristics. To end, grey prediction model combined with particle swarm optimization (PSO) is proposed: PSO-based data grouping fractional order accumulation (PSO-FDGGM (1,1)). The traditional shortcomings such as low accuracy poor...
In the contemporary context, pest detection is progressively moving toward automation and intelligence. However, current algorithms still face challenges, such as lower accuracy slower operation speed in detecting small objects. To address this issue, study presents a crop target algorithm, GLU-YOLOv8, designed for complex scenes based on an enhanced version of You Only Look Once 8 (YOLOv8). The algorithm introduces SCYLLA-IOU (SIOU) loss function, which enhances model generalization to...
According to the characteristics of massive, multi-source, heterogeneous, and rapid growth book literature data information from perspective metaverse, in order meet requirements efficient management retrieval such as standardized storage, effective extraction, scientific library construction for unstructured massive heterogeneous in-formation, this study focuses on normalization multi-source data, a warehouse model metaverse perspective, query optimization data. Systematic research...
It is a main direction of industrial application that manipulator performs grasping task in space and combines obstacle avoidance planning. This paper presents an improved RRTConnect path planning algorithm IRRTC based on dynamic constrained admittance control. The sliding constraints the Cartesian position used to search for reachable traction robot by algorithm. For orientation control, priori formed artificially given constraint interval, then control modified using end load moment...
Purpose: Visualization and processing of medical images radiation treatment plan evaluation have traditionally been constrained to local workstations with limited computation power ability data sharing software update. We present a web-based image planning platform (WIPPEP) for radiotherapy applications high efficiency, ubiquitous web access, real-time sharing. Methods: This consists three parts: server, server server. Each independent communicates each other through HTTP requests. The is...
Purpose: To present a novel automatic segmentation method for multiple pelvic organs and integrate into the web‐based image processing plan evaluation platform (WIPPEP) to provide easy access through web browser leverage power of cloud faster computation. Methods: This uses principal component analysis model organ shapes hierarchical clustering appearance each surface patch. Coarse refined are done iteratively patch find best reference profile via cluster decision tree. Final is obtained...
With the development of science and technology, it has had a great impact on manufacturing industry. The industry higher requirements for industrial manipulators, expectations quality function manipulators in are increasing day by day. At same time, working accuracy also getting higher. In this paper, new method is proposed. An error compensation calibration algorithm based parameter separation integration standard DH model (SDH) used to construct kinematic manipulator. six groups structural...