Papers
9
Total Citations
386
H-Index
8
About
Qiyu Sun is a researcher at the forefront of autonomous systems, embodied intelligence, and computer vision, whose work bridges foundational machine learning techniques with real-world robotic applications. His research focuses on visual perception, autonomous navigation, and the integration of deep learning and reinforcement learning into intelligent systems capable of understanding and interacting with complex environments. Sun's most influential contribution, "Perception and Navigation in Autonomous Systems in the Era of Learning" (2022, 133 citations), has become a key reference for researchers navigating the rapidly evolving landscape of learning-based autonomy. His work on "Deep Direct Visual Odometry" (2021, 51 citations) advances ego-motion estimation for robots, while his multitask GAN framework for semantic segmentation and depth completion (44 citations) demonstrates a sophisticated understanding of scene understanding in autonomous driving contexts. His forward-looking paper on Embodied AI and Industry 5.0 (2025, 81 citations) reflects his growing interest in human-centered manufacturing and cyber-physical-social systems. With contributions spanning causal reasoning in computer vision, UAV navigation via deep reinforcement learning, and multiple survey papers shaping the field's research agenda, Sun has established himself as a prolific synthesizer and innovator whose work consistently informs both academic inquiry and applied robotics development.
Research Focus
Key Achievements
Top Papers
- 1Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey133 citations · 2022
- 2When Embodied AI Meets Industry 5.0: Human-Centered Smart Manufacturing81 citations · 2025
- 3Deep Direct Visual Odometry51 citations · 2021
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- 6Causal reasoning in typical computer vision tasks25 citations · 2023
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