activity
20232026
most citedIn-Context-Learning-Assisted Quality Assessment Vision-Language Models for Metal Additive Manufacturing

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

Task-Driven 3D Printability Assistance via Geometry- and Knowledge-Grounded LLM Reasoning

Zhaoda Du, Qiaojie Zheng, Xiaoli Zhang

Printability assessment in additive manufacturing is typically conducted at the geometry level before printing to determine whether a computer-aided design (CAD) model or stereolit…

cs.RO2026

Decision-Aware Uncertainty Evaluation of Vision-Language Model-Based Early Action Anticipation for Human-Robot Interaction

Zhaoda Du, Michael Bowman, Qiaojie Zheng +1

Robots in shared workspaces must interpret human actions from partial, ambiguous observations, where overconfident early predictions can lead to unsafe or disruptive interaction. T…

cs.CV2025★ 1 cited

In-Context-Learning-Assisted Quality Assessment Vision-Language Models for Metal Additive Manufacturing

Qiaojie Zheng, Jiucai Zhang, Xiaoli Zhang

Vision-based quality assessment in additive manufacturing often requires dedicated machine learning models and application-specific datasets. However, data collection and model tra…

cs.CV2025

QA-VLM: Providing human-interpretable quality assessment for wire-feed laser additive manufacturing parts with Vision Language Models

Qiaojie Zheng, Jiucai Zhang, Joy Gockel +3

Image-based quality assessment (QA) in additive manufacturing (AM) often relies heavily on the expertise and constant attention of skilled human operators. While machine learning a…

cs.CV2025

Enhancing accuracy of uncertainty estimation in appearance-based gaze tracking with probabilistic evaluation and calibration

Qiaojie Zheng, Jiucai Zhang, Xiaoli Zhang

Accurately knowing uncertainties in appearance-based gaze tracking is critical for ensuring reliable downstream applications. Due to the lack of individual uncertainty labels, curr…

cs.RO2023

Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation

Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng +1

Simulation to Real-World Transfer allows affordable and fast training of learning-based robots for manipulation tasks using Deep Reinforcement Learning methods. Currently, Sim2Real…