Research Projects

Research

Zhihao Xia's research focuses on AI for Science, including AI agents for scientific research, large language model post-training and domain-specific adaptation, and embodied intelligence for intelligent robotic systems. Zhihao Xia's earlier work spans mechanism synthesis, generalized parallel mechanisms, and humanoid robotics.

Research Portfolio

Project Portfolio

Humanoid Robotics

Guanghua Humanoid Robot Development

Role: founding team member and technical lead Dec. 2023 -- Dec. 2024
Guanghua humanoid robot prototype
Project image

Participated in the development of Guanghua-0 and Guanghua-1, Fudan University's general-purpose humanoid robot prototypes. The work involved robotic mechanism integration, system development, and coordination between embodied-intelligence methods and physical robot design.

AI for Science

AI for Science, Agents, and Domain-Specific Large Models

Role: Postdoctoral Fellow Aug. 2026 -- Present
Schematic of mechanism synthesis mapped to a trainable neural-network task
Learning-assisted mechanism synthesis as a scientific AI testbed

Develops AI agents for scientific reasoning and research workflows, with an emphasis on large language model post-training and domain-specific adaptation. Mechanism synthesis and intelligent robotics provide core scientific testbeds for this research.

Mechanism Design

Humanoid-Leg-Inspired Generalized Parallel Manipulator

Role: graduate researcher 2019 -- 2022
Six-degree-of-freedom parallel manipulator reference
Project figure

Designed and analyzed a 6-DOF generalized parallel manipulator inspired by humanoid leg structures. The project connected topological synthesis, kinematic analysis, and humanoid robotic structure design.

Origami & Reconfiguration

Origami-Inspired and Reconfigurable Mechanism Synthesis

Role: researcher and coauthor 2023 -- 2026
Miura-ori origami tessellation models
Composite project figure

Explores graph-theoretic and topology-based methods for synthesizing origami-inspired, continuous-origami, configurable, and reconfigurable mechanisms for robotic applications.

Aerial Manipulation

Generalized Parallel Mechanisms for Adaptive Landing

Role: researcher and coauthor 2020 -- 2025
Aerial robot with generalized parallel mechanism for adaptive landing and manipulation
Project visual

Investigates generalized parallel mechanisms for adaptive landing, aerial manipulation, buffer landing systems, and configurable robotic structures with improved motion and force transmission.

Early Research

Intelligent Co-Act Manipulator Based on STM32

Role: undergraduate project lead May 2018 -- May 2019

Led a provincial undergraduate innovation project on a collaborative manipulator integrating mechanical design, embedded control, visual recognition, and human-machine interaction.