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检索条件"机构=Advanced Robotics Technology and Systems Lab"
198 条 记 录,以下是41-50 订阅
A framework of cooperative UAV-UGV system for target tracking
A framework of cooperative UAV-UGV system for target trackin...
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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021
作者: Su, Zhilong Wang, Can Wu, Xinyu Dong, Yao Ni, Jiangpeng He, Bailin Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Beijing100049 China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Shenzhen518055 China
This paper proposed a framework of cooperative UAV-UGV system. This system consists of three modules: UAV, UGV, and ground station console. It has the characteristics of high cohesion, low coupling, cross platform, an... 详细信息
来源: 评论
TactCapsNet: Tactile capsule network for object hardness recognition
TactCapsNet: Tactile capsule network for object hardness rec...
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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021
作者: Fang, Senlin Mi, Tingting Zhou, Zhenning Ye, Chaoxiang Liu, Chengliang Wu, Hancheng Yi, Zhengkun Wu, Xinyu Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China Shenzhen Key Laboratory of Smart Sensing and Intelligent Systems Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518055 China
Hardness is one of the most essential tactile clues for robots to recognize objects. However, methods for robots to recognize hardness are limited. In this paper, based on the Capsule Network (CapsNet), we propose a n... 详细信息
来源: 评论
Different Height Stairs Climbing Pattern Generation for Humanoids
Different Height Stairs Climbing Pattern Generation for Huma...
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IEEE International Conference on Real-time Computing and robotics (RCAR)
作者: Ming Yang Dingkui Tian Minjia Xu Feng Li Jianquan Sun Weiwei Shang Xinyu Wu University of Science and Technology of China Hefei P. R. China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China Daqing Vocational College Daqing China SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems Shenzhen China
Climbing stairs has been an indispensable ability for humanoids. This paper presents a novel and practical problem: climbing stairs of varying heights. In this study, the humanoid is modeled as an inverted pendulum an...
来源: 评论
Lateral Walking Gait Phase Detection with Data Optimization for a Hip Exoskeleton in Resistance Exercise
Lateral Walking Gait Phase Detection with Data Optimization ...
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IEEE Workshop on advanced robotics and its Social Impacts, ARSO
作者: Wujing Cao Xinbo Zhu Rui Xu Changyu Li Hongliu Yu Mingming Zhang Haoyong Yu Worawarit Kobsiriphat Xinyu Wu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society and SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems. College of Automation Engineering Nanjing University of Aeronautics and Astronautics Jining Zhongke Intelligent Technology Co. Ltd. University of Shanghai for Science and Technology Southern University of Science and Technology Department of Biomedical Engineering National University of Singapore. National Metal and Materials Technology Center Thailand
The accurate detection of lateral walking gait phases is essential for the effective implementation of hip exoskeleton systems in lateral resistance walking exercises. However, limitations in hardware, such as memory ... 详细信息
来源: 评论
Short-time Fourier transform covariance and selection, a feature extraction method for binary motor imagery classification
Short-time Fourier transform covariance and selection, a fea...
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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021
作者: Ma, Yue Zheng, Liangsheng Yi, Zhengkun Xiao, Yang Wang, Can Wu, Xinyu Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Chongqing University of Posts and Telecommunications
The brain-computer interfaces (BCI) technology is able to help dysfunctional people recover their motor functions. Electroencephalography (EEG) is an effective noninvasive method to construct BCI. Motor imagery (MI) p... 详细信息
来源: 评论
Terrain environment classification and recognition for soft lower-limb exosuit
Terrain environment classification and recognition for soft ...
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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021
作者: Ni, Jiangpeng Wang, Zhuo Li, Feng Su, Zhilong Cao, Wujing Chen, Chunjie Shenzhen College of Advanced Technology University of Chinese Academy of Sciences Beijing100049 China Shenzhen Institute of Advanced Technology Chinese Academy of Sci-ences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen518055 China Shenzhen Institute of Advanced Technology CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen518055 China
Reliable environmental context prediction is critical for wearable robots (exoskeletons or prostheses) to assist terrain-adaptive locomotion. Inspired by the mechanism of human perception of the environment, the visio... 详细信息
来源: 评论
A New Dynamic Routing Network for Monocular Depth Estimation  12
A New Dynamic Routing Network for Monocular Depth Estimation
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12th International Conference on CYBER technology in Automation, Control, and Intelligent systems, CYBER 2022
作者: Luo, Zhehao Luo, Sijin Liang, Guoyuan Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Chinese Academy of Sciences Guangdong Province Shenzhen China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China
Depth estimation is an essential task for understanding the geometry of 3D scenes. Compared with multi-view-based methods, monocular depth estimation is more challenging for the requirement of integrating not only glo... 详细信息
来源: 评论
Gesture Recognition Based on Attention and Dilated Causal Convolution
Gesture Recognition Based on Attention and Dilated Causal Co...
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2022 IEEE International Conference on Real-Time Computing and robotics, RCAR 2022
作者: Zhou, Xin Liu, Jiaqing Huai, Yaping Ye, Jiancong Wang, Can Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen518055 China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China Department of Rehabilitation Medicine Shenzhen Longhua District Central Hospital Shenzhen518000 China University of Science and Technology of China China University of Chinese Academy of Sciences China South China University of Technology China Department of Mechanical and Automation Engineering Chinese University of Hong Kong Hong Kong
In recent years, based on surface electromyography (sEMG), great progress has been made in gesture recognition tasks, which is significant to the study of computer interaction and prosthesis control. Prior to this, ma... 详细信息
来源: 评论
Terrain recognition and gait cycle prediction using IMU
Terrain recognition and gait cycle prediction using IMU
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2021 IEEE International Conference on Real-Time Computing and robotics, RCAR 2021
作者: Wang, Zhuo Zhang, Yu Ni, Jiangpeng Wu, Xinyu Liu, Yida Ye, Xin Chen, Chunjie Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institute of Advanced Technology Shenzhen China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen China SZ DJI Technology Co. Ltd. Shenzhen China
It is well known that terrain recognition and gait cycle prediction are important for powered exoskeleton. However, only a few works have focused on the concerns of complexity of the control system caused by using red... 详细信息
来源: 评论
Biased Target-tree * Algorithm with RRT * for Reducing Parking Path Planning Time
Biased Target-tree * Algorithm with RRT * for Reducing Parki...
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IEEE Symposium on Intelligent Vehicle
作者: Joonwoo Ahn Minsoo Kim Jaeheung Park Dynamic Robotics Systems (DYROS) Lab. Graduate School of Convergence Science and Technology Seoul National University Seoul Republic of Korea ASRI RICS Seoul National University Seoul South Korea Advanced Institutes of Convergence Technology (AICT Suwon South Korea
The target-tree * algorithm, which is a variant of the optimal rapidly-exploring random tree (RRT * ) has been proposed to reduce the parking path planning time. This algorithm pre-generates a set of backward paths (...
来源: 评论