no code implementations • 17 Mar 2023 • Qiaojie Zheng, Jiucai Zhang, Amy Zhang, Xiaoli Zhang
To address the unreliable and overconfident issues, we introduce a confidence-aware model that predicts uncertainties together with gaze angle estimations.
no code implementations • 22 Nov 2022 • Yiheng Tang, Yongxiong Wang, Xiaoli Zhang, Zhe Wang
In the temporal contexts learning, we adopt the Bidirectional Long Short-Term Memory Network (Bi-LSTM) network to capture the dependencies among the EEG frames.
no code implementations • 26 May 2022 • Yunsik Jung, Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang
In this work, we develop a novel Physics-Guided Deep Reinforcement Learning with a Hierarchical Reward Mechanism to improve learning efficiency and generalizability for learning-based autonomous grasping.
no code implementations • 26 May 2022 • Lingfeng Tao, Jiucai Zhang, Xiaoli Zhang
Dexterous manipulation tasks usually have multiple objectives, and the priorities of these objectives may vary at different phases of a manipulation task.
1 code implementation • 8 Oct 2021 • Shi Luo, Xiongfei Li, Xiaoli Zhang
In this paper, the authors first predict high confidence detection results on the training set itself.
no code implementations • 22 Mar 2021 • Noopur Jamnikar, Sen Liu, Craig Brice, Xiaoli Zhang
For the purpose of in situ quality control, the process parameters should be controlled in real-time based on sensed information from the process, in particular the molten pool.
no code implementations • 21 Mar 2021 • Noopur Jamnikar, Sen Liu, Craig Brice, Xiaoli Zhang
To enable in situ quality monitoring of bead geometry and characterization properties, we need to continuously monitor the sensor's data for molten pool dimensions and temperature for the Wire-feed laser additive manufacturing (WLAM) system.
no code implementations • 10 Mar 2021 • Shi Luo, Xiongfei Li, Xiaoli Zhang
Once anchor design and anchor matching strategy determined, plenty of positive anchors will be sampled.
no code implementations • 10 Feb 2021 • Fengting Li, Xuankai Liu, Xiaoli Zhang, Qi Li, Kun Sun, Kang Li
Particularly, the localized adversarial examples only perturb a small and contiguous region of the target object, so that they are robust and effective in both digital and physical worlds.
no code implementations • 13 Jan 2021 • Rui Liu, Sen Liu, Xiaoli Zhang
To address the first problem, a physics-informed, data-driven model (PIM), which instead of directly using machine setting parameters to predict porosity levels of printed parts, it first interprets machine settings into physical effects, such as laser energy density and laser radiation pressure.
BIG-bench Machine Learning Physics-informed machine learning
no code implementations • 19 Dec 2020 • Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang
In human-robot cooperation, the robot cooperates with humans to accomplish the task together.
no code implementations • 7 Mar 2020 • Lingfeng Tao, Michael Bowman, Xu Zhou, Jiucai Zhang, Xiaoli Zhang
Enabling robots to provide effective assistance yet still accommodating the operator's commands for telemanipulation of an object is very challenging because robot's assistive action is not always intuitive for human operators and human behaviors and preferences are sometimes ambiguous for the robot to interpret.
no code implementations • 4 Mar 2020 • Sen Liu, Branden B. Kappes, Behnam Amin-ahmadi, Othmane Benafan, Xiaoli Zhang, Aaron P. Stebner
Machine learning (ML) is shown to predict new alloys and their performances in a high dimensional, multiple-target-property design space that considers chemistry, multi-step processing routes, and characterization methodology variations.
no code implementations • 1 Mar 2020 • Lingfeng Tao, Michael Bowman, Jiucai Zhang, Xiaoli Zhang
Applying Deep Reinforcement Learning (DRL) to Human-Robot Cooperation (HRC) in dynamic control problems is promising yet challenging as the robot needs to learn the dynamics of the controlled system and dynamics of the human partner.
2 code implementations • 20 Dec 2018 • Shi Luo, Xiongfei Li, Rui Zhu, Xiaoli Zhang
In this paper, we present the Small Faces Attention (SFA) face detector to better detect faces with small scale.
no code implementations • 30 Jan 2017 • Rui Liu, Xiaoli Zhang
However, a thorough review, that can reveal latest methodologies to use NL to facilitate human-robot cooperation, is missing.
no code implementations • 28 Jan 2017 • Rui Liu, Xiaoli Zhang
Natural-language-facilitated human-robot cooperation (NLC), in which natural language (NL) is used to share knowledge between a human and a robot for conducting intuitive human-robot cooperation (HRC), is continuously developing in the recent decade.
no code implementations • 20 Nov 2016 • Rui Liu, Xiaoli Zhang
To address this NL-based human-machine communication problem and enable the machines to appropriately execute tasks by following the end-user's NL instructions, we developed a Machine-Executable-Plan-Generation (exePlan) method.