Zhihao Sun
Papers
1
Total Citations
1
H-Index
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About
Zhihao Sun is a robotics researcher whose work centers on autonomous navigation and motion planning in complex, dynamic environments. His primary contributions lie in developing computationally efficient algorithms for real-time obstacle avoidance, addressing a critical bottleneck in deploying robots in unknown or changing settings. His most cited paper, "Dynamic Obstacle Avoidance Planning for Robots in Unknown Environments Based on Trajectory Prediction," tackles the longstanding challenge of slow online solving times and poor real-time performance in dynamic obstacle avoidance. By integrating trajectory prediction directly into the planning loop, Sun’s approach enables robots to generate collision-free paths more rapidly, significantly improving responsiveness and safety. This work has garnered early citations, reflecting its potential impact on fields ranging from autonomous vehicles to service robotics. Sun’s research is notable for its practical focus on bridging the gap between theoretical planning algorithms and real-world deployment constraints, making his contributions particularly relevant for engineers and researchers developing next-generation autonomous systems.
Research Focus
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Top Papers
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