Research
My current research topics cover visual navigation, 2D & 3D perception, and autonomous system design. My research vision is to develop robust, generalisable visuomotor policy for robot navigation in the open world.
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Open World GPS Goal Visual Navigation Apporach
Zishuo Wang, Joel Loo, Yuwei Zeng, Nielsen Cugito, David Hsu
Earth Rover Challenge at IROS, 2024
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A navigation system that deals with the complexities of open world with purely vision-based sensing, compounded by
remote communication latency. Won the 2nd place in the challenge.
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Failure Resilience in Learned Visual Navigation Control
Zishuo Wang
Master's thesis, 2024
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A comprehensive framework that imbues learned policies with the ability to detect task-relevant failures and handle them in an informed way
through unsupervised anomaly detection and localisation.
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Hatch Recognition Method for Bulk Carrier
Zishuo Wang
Bachelor's thesis, 2022
A hatch recognition method combining point cloud merging, learning-based 3D part segmentation and
classical 2D image processing. Contributed to the perception module for automatic coal loading at Tianjin Port.
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Projects
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Anti-photographic Detection Algorithm Based on Semi-supervised Learning
Zishuo Wang
Bachelor's thesis, 2022
Built an one-stage object detector for photographic equipment with pseudo-label based semi-supervised learning.
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Table Curling Robot
Built a smart robot car which can play curling on table by integrating visual processing, decision making and control.
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Intelligent Vision PTZ for Face Tracking and Alerting
Built an 2-Dof Vision PTZ capable of face recognition and tracking.
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Multi-legged Bionic Robot
Built a quadrupedal/hexapedal robot capable of obstacle avoidance and line following.
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Modified version of template from here. Thanks!
Last updated: 15 Dec 2024
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