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检索条件"机构=Computer Engineering and Robotics Laboratory"
2124 条 记 录,以下是81-90 订阅
KT-Imitation: Efficient Visual Imitation for Autonomous Navigation Based on Keypoint Timeline
KT-Imitation: Efficient Visual Imitation for Autonomous Navi...
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IEEE Latin American robotics Symposium, LARS
作者: Karen Li Hanqing Qi Jiawei Xu Edward Jeffs David Saldaña Department of Computer Science and Engineering Lehigh University Bethlehem PA USA Autonomous and Intelligent Robotics Laboratory (AIRLab) Lehigh University
We introduce Keypoint Timeline (KT-) Imitation, a vision-only imitation algorithm for autonomous navigation. The algorithm is both data- and computation-efficient, as it only requires a single video demonstration. Dif... 详细信息
来源: 评论
Bidirectional Human Interactive AI Framework for Social Robot Navigation
arXiv
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arXiv 2024年
作者: Girgin, Tuba Girgin, Emre Yildirim, Yigit Ugur, Emre Haklidir, Mehmet Robotics and Autonomous Systems Laboratory TUBITAK BILGEM Kocaeli41470 Turkey Department of Computer Engineering Bogazici University Istanbul Turkey
Trustworthiness is a crucial concept in the context of human-robot interaction. Cooperative robots must be transparent regarding their decision-making process, especially when operating in a human-oriented environment... 详细信息
来源: 评论
Volumetric Mapping with Panoptic Refinement via Kernel Density Estimation for Mobile Robots
arXiv
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arXiv 2024年
作者: Nguyen, Khang Dang, Tuan Huber, Manfred The Learning and Adaptive Robotics Laboratory Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX76013 United States
Reconstructing three-dimensional (3D) scenes with semantic understanding is vital in many robotic applications. Robots need to identify which objects, along with their positions and shapes, to manipulate them precisel... 详细信息
来源: 评论
V3D-SLAM: Robust RGB-D SLAM in Dynamic Environments with 3D Semantic Geometry Voting
arXiv
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arXiv 2024年
作者: Dang, Tuan Nguyen, Khang Huber, Manfred The Learning and Adaptive Robotics Laboratory Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX76013 United States
Simultaneous localization and mapping (SLAM) in highly dynamic environments is challenging due to the correlation complexity between moving objects and the camera pose. Many methods have been proposed to deal with thi... 详细信息
来源: 评论
Real-Time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision
arXiv
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arXiv 2024年
作者: Nguyen, Khang Dang, Tuan Huber, Manfred The Learning and Adaptive Robotics Laboratory Department of Computer Science and Engineering University of Texas at Arlington ArlingtonTX76013 United States
Perceiving a three-dimensional (3D) scene with multiple objects while moving indoors is essential for vision-based mobile cobots, especially for enhancing their manipulation tasks. In this work, we present an end-to-e... 详细信息
来源: 评论
Fast Walking of Position-Controlled Biped Robot Based on Whole-Body Compliance Control  16th
Fast Walking of Position-Controlled Biped Robot Based on Who...
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16th International Conference on Intelligent robotics and Applications, ICIRA 2023
作者: Zhu, Yiting Xie, Ye Gao, Chengzhi Liang, Dingkun Kong, Lingyu Wang, Xin Xie, Anhuan Gu, Jianjun Research Center for Intelligent Robotics Research Institute of Interdisciplinary Innovation Zhejiang Laboratory Hangzhou311100 China Zhejiang Engineering Research Center for Intelligent Robotics Hangzhou311100 China Zhejiang University Zhejiang Hangzhou311100 China Department of Electrical and Computer Engineering Dalhousie University HalifaxNSB3H 4R2 Canada
When a biped robot walks at a high speed, only relying on the open-loop gait trajectory based on the linear inverted pendulum model (LIPM), the robot cannot maintain stability. Sudden contact with the ground when land... 详细信息
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Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models
Optimizing Uncertainty Estimation on Scientific Visualizatio...
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2024 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2024
作者: Almeida, Clara J. Guerrero-Pantoja, David Pautsch, Erik Rizzi, Silvio Thiruvathukal, George K. Pantoja, Maria University of California Santa Cruz Robotics and Electrical Engineering Santa Cruz United States University of California Santa Cruz Computer Science and Game Design Santa Cruz United States Loyola University Chicago Computer Science Chicago United States Argonne National Laboratory Argonne Leadership Computing Facility Lemont United States Computer Science and Software Engineering California Polytechnics State University San Luis Obispo United States
Scientific visualizations (SciVis) translate numerical and spatial data as images, enabling scientists to better understand the phenomena described by the data and gain insights that may be overlooked by statistical m... 详细信息
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Sailing Through Point Clouds: Safe Navigation Using Point Cloud Based Control Barrier Functions
arXiv
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arXiv 2024年
作者: Dai, Bolun Khorrambakht, Rooholla Krishnamurthy, Prashanth Khorrami, Farshad Control/Robotics Research Laboratory Electrical & Computer Engineering Department Tandon School of Engineering New York University BrooklynNY11201 United States
The capability to navigate safely in an unstructured environment is crucial when deploying robotic systems in real-world scenarios. Recently, control barrier function (CBF) based approaches have been highly effective ... 详细信息
来源: 评论
A Survey of Human Action Recognition and Posture Prediction
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Tsinghua Science and Technology 2022年 第6期27卷 973-1001页
作者: Nan Ma Zhixuan Wu Yiu-ming Cheung Yuchen Guo Yue Gao Jiahong Li Beiyan Jiang Beijing Key Laboratory of Information Service Engineering the College of RoboticsBeijing Union UniversityBeijing 100101China Department of Computer Science Hong Kong Baptist UniversityHong Kong 999077China Beijing National Research Center for Information Science and Technology Tsinghua UniversityBeijing 100084China School of Software Tsinghua UniversityBeijing 100084China College of Robotics Beijing Union UniversityBeijing 100101China
Human action recognition and posture prediction aim to recognize and predict respectively the action and postures of persons in *** are both active research topics in computer vision community,which have attracted con... 详细信息
来源: 评论
A single-stream adaptive scene layout modeling method for scene recognition
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Neural Computing and Applications 2024年 第22期36卷 13703-13714页
作者: Wang, Qun Zhu, Feng Lin, Zhiyuan Wang, Jianyu Li, Xiang Zhao, Pengfei Key Laboratory of Opto-Electronic Information Processing Chinese Academy of Sciences Shenyang110016 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China University of Chinese Academy of Sciences Beijing100049 China Faculty of Robot Science and Engineering Northeastern University Shenyang110016 China Faculty of Computer Science and Engineering Northeastern University Shenyang110016 China
Scene recognition has been the foundation of research in computer vision fields. Because scene images typically are composed of specific regions distributed in some layout, so modeling layouts of various scenes is a k... 详细信息
来源: 评论