A5101464216- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Advanced Vision and Imaging
- Reinforcement Learning in Robotics
- Microwave Imaging and Scattering Analysis
- Neural dynamics and brain function
- Insect and Arachnid Ecology and Behavior
- Advanced Image and Video Retrieval Techniques
- Surface Treatment and Residual Stress
- Industrial Vision Systems and Defect Detection
- Robot Manipulation and Learning
- Date Palm Research Studies
- Aluminum Alloys Composites Properties
- EEG and Brain-Computer Interfaces
- Metal Alloys Wear and Properties
- Robotics and Automated Systems
- Radar Systems and Signal Processing
- Smart Agriculture and AI
- Advanced SAR Imaging Techniques
- Functional Brain Connectivity Studies
East China University of Science and Technology
2020-2024
Tianjin Medical University
2023
Tianjin University
2023
National University of Defense Technology
2022
Institute of Mountain Hazards and Environment
2021
Chinese Academy of Sciences
2021
Beijing Institute of Technology
2015
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An a priori map is often unavailable for mobile robot in new environment. In large-scale environment, relying on manual guidance to construct an environment will result huge workload. Hence, autonomous exploration algorithm necessary the complete actively. This study proposes and mapping method based incremental caching topology–grid hybrid (TGHM). Such can accomplish task with high efficiency coverage of established map. The TGHM fusion topology map, containing information gain motion cost...
The indirect visual simultaneous localization and mapping (VSLAM) is widely used in robot navigation, thanks to its potential achieve high accuracy with the local feature observations. However, existing features are subject drift mismatches under various conditions, which causes a degrading tracking loss. This article proposes quantized self-supervised for VSLAM handle environmental interference tasks. A joint detection description network built lightweight manner extract real time....
Abstract Objective . The day-to-day variability of electroencephalogram (EEG) poses a significant challenge to decode human brain activity in EEG-based passive brain-computer interfaces (pBCIs). Conventionally, time-consuming calibration process is required collect data from users on new day ensure the performance machine learning-based decoding model, which hinders application pBCIs monitor mental workload (MWL) states real-world settings. Approach This study investigated stability raw...
The single-input multiple-output (SIMO) array based imaging system has been applied for remote sensing and concealed weapon detection. In this paper, comparisons of the back-projection (BP) algorithm wavenumber domain (wk) to SIMO are provided both in near-field case far-field case. Simulations demonstrate that BP performs better For wk algorithm, there would appear deviation slight defocusing target due Taylor approximation case, result is almost identical with but former need more operation time.