Robot Manipulation
Dexterous and mobile manipulation, long-horizon tasks, and task-and-motion planning.
PhD Researcher · Sydney, Australia
I’m Zihao Li, a robotics researcher building systems that perceive, reason, and act in the physical world.
↓Interactive robot workspace. Move the pointer to direct the robot arm. Click to set a planned target.
My research sits at the intersection of robot manipulation, embodied intelligence, and multimodal learning. I develop generalizable robot policies for complex, long-horizon tasks.
I’m currently a Computer Science PhD student at The University of Sydney, advised by Prof. Weiming (William) Zhi.
Dexterous and mobile manipulation, long-horizon tasks, and task-and-motion planning.
Visuomotor policy learning, imitation and reinforcement learning, generalization, and adaptation.
Multimodal representations, language-conditioned control, and foundation models for robotics.
CURRENT THESIS VECTOR
How can robots preserve what matters, ignore what doesn’t, and coordinate action when evidence arrives late?
A path through mechanical systems, control, planning, and embodied AI.
PhD in Computer Science · Advisor: Prof. Weiming Zhi
Embodied AI Researcher · Whole-body teleoperation and embodied AI
Research Intern · Task-and-motion planning for autonomous scaffolding assembly
Control Science and Engineering · Multimodal perception and control for manipulation
Mechatronics Engineering & Automation · Chu Kochen Honors Program
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2026CONSTRUCTION ROBOTICS
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ZL / 2026When I’m not thinking about robots, you’ll find me playing basketball or badminton, swimming, or exploring the worlds of Hollow Knight and God of War.