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09/13/2023
Curriculum-based Sensing Reduction in Simulation to Real-World Transfer for In-hand Manipulation
Simulation to Real-World Transfer allows affordable and fast training of...
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09/13/2023
Stable In-hand Manipulation with Finger Specific Multi-agent Shadow Reward
Deep Reinforcement Learning has shown its capability to solve the high d...
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03/17/2023
Confidence-aware 3D Gaze Estimation and Evaluation Metric
Deep learning appearance-based 3D gaze estimation is gaining popularity ...
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10/28/2022
Transferability-based Chain Motion Mapping from Humans to Humanoids for Teleoperation
Although data-driven motion mapping methods are promising to allow intui...
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10/11/2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation
In-hand manipulation is challenging for a multi-finger robotic hand due ...
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05/26/2022
Deep Reinforcement Learning with Adaptive Hierarchical Reward for MultiMulti-Phase Multi Multi-Objective Dexterous Manipulation
Dexterous manipulation tasks usually have multiple objectives, and the p...
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10/08/2021
BDC: Bounding-Box Deep Calibration for High Performance Face Detection
Modern CNN-based face detectors have achieved tremendous strides due to ...
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03/22/2021
Comprehensive process-molten pool relations modeling using CNN for wire-feed laser additive manufacturing
Wire-feed laser additive manufacturing (WLAM) is gaining wide interest d...
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03/21/2021
Machine learning based in situ quality estimation by molten pool condition-quality relations modeling using experimental data
The advancement of machine learning promises the ability to accelerate t...
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03/10/2021
Wide Aspect Ratio Matching for Robust Face Detection
Recently, anchor-based methods have achieved great progress in face dete...
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02/10/2021
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis
Deep neural networks (DNNs) have been applied in a wide range of applica...
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01/13/2021
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing
To control part quality, it is critical to analyze pore generation mecha...
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12/19/2020
Forming Human-Robot Cooperation for Tasks with General Goal using Evolutionary Value Learning
In human-robot cooperation, the robot cooperates with the human to accom...
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05/19/2020
Robust Robot-assisted Tele-grasping Through Intent-Uncertainty-Aware Planning
In teleoperation, research has mainly focused on target approaching, whe...
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03/11/2020
A General Arbitration Model for Robust Human-Robot Shared Control with Multi-Source Uncertainty Modeling
Shared control in teleoperation leverages both human and robot's strengt...
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03/07/2020
An Intent-based Task-aware Shared Control Framework for Intuitive Object Telemanipulation
Shared control in teleoperation for providing robot assistance to accomp...
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03/07/2020
Learn and Transfer Knowledge of Preferred Assistance Strategies in Semi-autonomous Telemanipulation
Increasing the autonomy level of a robot hand to accomplish remote objec...
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03/04/2020
A physics-informed feature engineering approach to use machine learning with limited amounts of data for alloy design: shape memory alloy demonstration
Machine learning using limited data from physical experiments is shown t...
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03/01/2020
Learn Task First or Learn Human Partner First? Deep Reinforcement Learning of Human-Robot Cooperation in Asymmetric Hierarchical Dynamic Task
The deep reinforcement learning method for human-robot cooperation (HRC)...
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12/20/2018
SFA: Small Faces Attention Face Detector
In recent year, tremendous strides have been made in face detection than...
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01/30/2017
A Review of Methodologies for Natural-Language-Facilitated Human-Robot Cooperation
Natural-language-facilitated human-robot cooperation (NLC) refers to usi...
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01/28/2017
Systems of natural-language-facilitated human-robot cooperation: A review
Natural-language-facilitated human-robot cooperation (NLC), in which nat...
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11/20/2016
