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Found 18 papers, 2 papers with code
Confidence-aware 3D Gaze Estimation and Evaluation Metric
To address the unreliable and overconfident issues, we introduce a confidence-aware model that predicts uncertainties together with gaze angle estimations.
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition
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.
Multi-Phase Multi-Objective Dexterous Manipulation with Adaptive Hierarchical Curriculum
Dexterous manipulation tasks usually have multiple objectives, and the priorities of these objectives may vary at different phases of a manipulation task.
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping
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.
Bounding-box deep calibration for high performance face detection
In this paper, the authors first predict high confidence detection results on the training set itself.
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
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.
Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
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.
Wide Aspect Ratio Matching for Robust Face Detection
Once anchor design and anchor matching strategy determined, plenty of positive anchors will be sampled.
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis
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.
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
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
Forming Real-World Human-Robot Cooperation for Tasks With General Goal
In human-robot cooperation, the robot cooperates with humans to accomplish the task together.
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
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.
Physics-informed machine learning for composition-process-property alloy design: shape memory alloy demonstration
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.
Learn Task First or Learn Human Partner First: A Hierarchical Task Decomposition Method for Human-Robot Cooperation
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.
SFA: Small Faces Attention Face Detector
In this paper, we present the Small Faces Attention (SFA) face detector to better detect faces with small scale.
A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation
However, a thorough review, that can reveal latest methodologies to use NL to facilitate human-robot cooperation, is missing.
Systems of natural-language-facilitated human-robot cooperation: A review
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.
Generating machine-executable plans from end-user's natural-language instructions
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.
