Search Results - "Shaokun Jin"

A Simultaneous Localization and Mapping (SLAM) Framework for 2.5D Map Building Based on Low-Cost LiDAR and Vision Fusion by Jiang, Guolai, Yin, Lei, Jin, Shaokun, Tian, Chaoran, Ma, Xinbo, Ou, Yongsheng

“…The method of simultaneous localization and mapping (SLAM) using a light detection and ranging (LiDAR) sensor is commonly adopted for robot navigation…”
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Depth Estimation of a Deformable Object via a Monocular Camera by Jiang, Guolai, Jin, Shaokun, Ou, Yongsheng, Zhou, Shoujun

“…The depth estimation of the 3D deformable object has become increasingly crucial to various intelligent applications. In this paper, we propose a feature-based…”
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A Wheeled Inverted Pendulum Learning Stable and Accurate Control from Demonstrations by Jin, Shaokun, Ou, Yongsheng

“…In order to enable robots to be more intelligent and flexible, one way is to let robots learn human control strategy from demonstrations. It is a useful…”
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Learning Accurate and Stable Dynamical System Under Manifold Immersion and Submersion by Jin, Shaokun, Wang, Zhiyang, Ou, Yongsheng, Feng, Wei

“…Learning from demonstration (LfD) has been increasingly used to encode robot tasks such that robots can achieve reproduction more flexibly in unstructured…”
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Fast and Stable Learning of Dynamical Systems Based on Extreme Learning Machine by Duan, Jianghua, Ou, Yongsheng, Hu, Jianbing, Wang, Zhiyang, Jin, Shaokun, Xu, Chao

“…The approach of dynamical system (DS) is promising for modeling robot motion, and provides a flexible means of realizing robot learning and control. Accuracy,…”
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Real-time tuning of cavity filters by learning from human experience: A vector field approach by Zhiyang Wang, Shaokun Jin, Jingfeng Yang, Xinyu Wu, Yongsheng Ou

“…The technique of tuning a cavity filter is purely a rule of thumb: only experienced tuning engineer is competent to the task. However, with the great…”
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A novel model for robots to avoid obstacles based on tensor analysis and differential geometry by Shaokun Jin, Yongsheng Ou, Xinyu Wu, Wei Feng

“…This paper attempts to build a novel model for robots to undertake obstacle avoidance tasks. Conventional work mainly forms a dynamical system (DS) through…”
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Proposed benefit-harm value based utterance learning model for human-machine communication control system by Shaokun Jin, Yipeng Ding, Zhigang Chen

“…To make control actions efficient and simple, kinds of human-machine communication control systems have been developed to replace manual control. However,…”
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Improved Learning Accuracy for Learning Stable Control from Human Demonstrations by Jin, Shaokun, Wang, Zhiyang, Ou, Yongsheng, Zhou, Yimin

“…Learning from Demonstration (LfD) has been identified as an effective method for making robots adapt to a similar kind of tasks. In this work, a framework of…”
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A Multi-task Learning Convolutional Neural Network for Object Pose Estimation by Wang, Yurui, Jin, Shaokun, Ou, Yongsheng

“…Estimating 6D poses of objects from RGB images is very crucial for robots to interact with the surrounding environment and to cooperate with humans. It is a…”
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