Lin Zhang Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
faculty
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Lin Zhang, an Assistant Professor at the University of Central Arkansas, researches applications of machine learning and robotics in dynamic environments. Their work includes developing algorithms for robot navigation, obstacle avoidance, and object manipulation, often employing reinforcement learning and sensor fusion techniques. Publications address topics such as cable-driven parallel robots with mobile bases, self-closing door pulling using force-vision fusion, and pedestrian detection with multi-view convolutional fusion. Zhang also investigates the use of machine learning for landscape perception and the recovery of carbon dots from waste streams. Their scholarship metrics include an h-index of 14, 58 total publications, and 614 total citations.
Metrics
- h-index: 53
- Publications: 693
- Citations: 10,496
Selected Publications
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Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models (2025)
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Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots (2023)
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Shadow removal of spacecraft images with multi-illumination angles image fusion (2023)
Collaboration Network
Top Collaborators
- The Control Strategy for Vehicle Transfer Robots in RO/RO Terminal Environments
- A Hierarchical Target Vehicle Pose Detection Framework in Ro-Ro Terminal Environment
- Research on Path Planning of Mobile Robot Based on DWA-IMP-A* Algorithm
- Deep Reinforcement Learning-Based Trajectory Tracking Framework for 4WS Robots Considering Switch of Steering Modes
- Dynamic Network Topology Analysis, Design, and Evaluation for Multi-Robot Vehicle Transfer in High-Density Storage Yards
- The Control Strategy for Vehicle Transfer Robots in RO/RO Terminal Environments
- A Hierarchical Target Vehicle Pose Detection Framework in Ro-Ro Terminal Environment
- Research on Path Planning of Mobile Robot Based on DWA-IMP-A* Algorithm
- Hybrid A* Path Planning with Multi-Modal Motion Extension for Four-Wheel Steering Mobile Robots
- Research on Path Planning of Mobile Robot Based on DWA-IMP-A* Algorithm
- Hybrid A* Path Planning with Multi-Modal Motion Extension for Four-Wheel Steering Mobile Robots
- Deep Reinforcement Learning-Based Trajectory Tracking Framework for 4WS Robots Considering Switch of Steering Modes
- Dynamic Network Topology Analysis, Design, and Evaluation for Multi-Robot Vehicle Transfer in High-Density Storage Yards
- A Hierarchical Target Vehicle Pose Detection Framework in Ro-Ro Terminal Environment
- Deep Reinforcement Learning-Based Trajectory Tracking Framework for 4WS Robots Considering Switch of Steering Modes
- Dynamic Network Topology Analysis, Design, and Evaluation for Multi-Robot Vehicle Transfer in High-Density Storage Yards
- Force-Vision Sensor Fusion Improves Learning-Based Approach for Self-Closing Door Pulling
- Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models
- Force-Vision Sensor Fusion Improves Learning-Based Approach for Self-Closing Door Pulling
- Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots
- The Control Strategy for Vehicle Transfer Robots in RO/RO Terminal Environments
- Research on Path Planning of Mobile Robot Based on DWA-IMP-A* Algorithm
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
- Carbon dots recovery from waste streams of hydrothermal process
- Carbon Dots Recovery from Waste Streams of Hydrothermal Process
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