A5069532857- Robotic Path Planning Algorithms
- Mobile Learning in Education
- Augmented Reality Applications
- AI in Service Interactions
- UAV Applications and Optimization
- Distributed Control Multi-Agent Systems
- Evacuation and Crowd Dynamics
- Reinforcement Learning in Robotics
- Real-Time Systems Scheduling
- Robotics and Sensor-Based Localization
University Town of Shenzhen
2024
Tsinghua University
2023-2024
Multi-UAV systems have shown immense potential in handling complex tasks large-scale, dynamic, and cold-start (i.e., limited prior knowledge) scenarios, such as wildfire suppression. Due to the dynamic stochastic environmental conditions, scheduling for sensing fire monitoring) operation suppression) should be executed concurrently enable real-time information collection timely intervention of environment. However, planning inclinations are typically inconsistent evolve over time,...
Language learning is a challenging and time-consuming process, requiring an immersive environment active usage of the language. However, English as Foreign (EFL) learners often face difficulties in obtaining experiences due to one-sided teaching lack real-life language contexts for practice. To overcome this challenge, various approaches have been proposed that leverage technologies such mobile-based augmented reality chatbots. these limitations hinder full immersion into fail adequately...