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Mingzhu Sun

9 accepted papers

2025

Automated Dual-Micropipette Coordination Microinjection for Batch Zebrafish Larvae Based on Pose Estimation

IROS 2025

Zebrafish are widely used in the biomedical field, as an ideal model for microinjection. In automated zebrafish microinjection, posture adjustment is the first and key step, which takes a lot of skill, and injection success assessment is a challenging task. Constrained by these two aspects, it is di

Cited by 0SourceScholar
2025

InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles

EMNLP 2025

LLMs have shown strong performance on human-centric reasoning tasks. While previous evaluations have explored whether LLMs can infer intentions or detect deception, they often overlook the individualized reasoning styles that influence how people interpret and act in social contexts. Social deductio

Cited by 0SourcePDFScholar
2025

Modeling and Simulation of Single-micropipette Cell Rotation for Imitation Learning

IROS 2025

Cell rotation plays a crucial role in micromanipulation. Among manual cell rotation techniques, single-micropipette cell rotation is widely adopted due to its high efficiency and flexibility. However, there is currently no method capable of achieving automated single-micropipette cell rotation. In t

Cited by 0SourceScholar
2025

Nonlinear Viscoelastic Model-based Deformation Optimization for Robotic Micropuncture in Retinal Vein Cannulation

IROS 2025

Micropuncture is a critical step in drug injection during retinal vein cannulation (RVC) surgery. Minimizing deformation during the micropuncture process is beneficial to reduce mechanical damage. However, this goal is challenging due to the viscoelastic characteristics of retinal tissue. In this pa

Cited by 0SourceScholar
2023

Automatic Cell Rotation Method Based on Deep Reinforcement Learning

ICRA 2023poster

Cell rotation is widely used to adjust cell posture in sub-cellular micromanipulations. The trajectory planning of the injection micropipette is needed, so that the cells can be rotated with the minimum deformation to reduce cell damage and keep cell viability. Due to the uncertainty of cell propert…

Cited by 2SourceScholar
2022

Simultaneous Depth Estimation and Localization for Cell Manipulation Based on Deep Learning

IROS 2022poster

Visual localization, which is a key technology to realize the automation of cell manipulation, has been widely studied. Since the depth of field of the microscope is narrow, the planar localization and depth estimation are usually coupled together. At present, most methods adopt the serial working m…

Cited by 3SourceScholar
2021

Automatic Cell Rotation Based on Real-Time Detection and Tracking

RA-L 2021

Cell rotation has great significance for cell manipulation, which is applied to intracytoplasmic sperm injection, preimplantation genetic screening and diagnosis, somatic cell nuclear transfer, etc. In this letter, an automatic cell rotation method is proposed based on real-time detection and tracki

Cited by 19SourceScholar
2021

Robotic Cardinal Vein Microinjection of Zebrafish Larvae Based on 3D Positioning

ICRA 2021poster

Zebrafish (Danio Rerio) larvae have long been an important model organism for biomedicine and drug discovery. It is difficult to deliver the external materials into the circulatory system by conventional exposing administration, while vein microinjection is more efficient but more challenging. In th…

Cited by 9SourceScholar
2017

Automated cell transportation for batch-cell manipulation

IROS 2017poster

Batch-cell manipulation is a key technology in biological applications. Robotic manipulation has important significance to improve the operation success rate and reduce the technical threshold, but the problem of inefficiency still exists in batch-cell experiments. In this paper, an automated cell t…

Cited by 3SourceScholar