8 citations · 9 across the 8 of their papers we have counts for
8 papers
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…
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…
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…
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…
Real-time Dexterous Telemanipulation with an End-Effect-Oriented Learning-based Approach
Haoyang Wang, He Bai, Xiaoli Zhang +3
Dexterous telemanipulation is crucial in advancing human-robot systems, especially in tasks requiring precise and safe manipulation. However, it faces significant challenges due to…
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…
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward
Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang
Deep Reinforcement Learning has shown its capability to solve the high degrees of freedom in control and the complex interaction with the object in the multi-finger dexterous in-ha…
An Intent-based Task-aware Shared Control Framework for Intuitive Hands Free Telemanipulation
Michael Bowman, Jiucai Zhang, Xiaoli Zhang
Shared control in teleoperation for providing robot assistance to accomplish object manipulation, called telemanipulation, is a new promising yet challenging problem. This has uniq…