Lin Zhang Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor
University of Central Arkansas
faculty
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Biography and Research Information
OverviewAI-generated summary
Lin Zhang's research focuses on the development and application of advanced algorithms for robotic systems, particularly in areas of motion planning and navigation. His work often integrates machine learning techniques, such as reinforcement learning, to enable robots to perform complex tasks in dynamic and unpredictable environments. Recent publications demonstrate his investigation into safe reinforcement learning for motion planning with uncontrollable mobile robots and dynamic obstacle avoidance for cable-driven parallel robots. Zhang also explores sensor fusion, as seen in his work on combining force-vision data for robotic door pulling tasks. Beyond robotics, his research extends to landscape perception using machine learning and street view imagery, as well as the recovery of carbon dots from waste streams. Zhang's scholarship metrics include an h-index of 14, with 58 total publications and 606 total citations.
Metrics
- h-index: 14
- Publications: 58
- Citations: 606
Selected Publications
- Enabling Service Robots to Open Self-Closing Doors using Deep RL and Generative Models (2025) DOI
- Safe Reinforcement Learning-Based Motion Planning for Functional Mobile Robots Suffering Uncontrollable Mobile Robots (2023) DOI
- Dynamic Obstacle Avoidance for Cable-Driven Parallel Robots With Mobile Bases via Sim-to-Real Reinforcement Learning (2023) DOI
- Force-Vision Sensor Fusion Improves Learning-Based Approach for Self-Closing Door Pulling (2021) DOI
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