SUN RGB-D: A RGB-D scene understanding benchmark suite
Song, Shuran, Lichtenberg, Samuel P., Xiao, Jianxiong·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by (1,003)
Items 401–500 of 1,003
- Recent advances of few-shot learning methods and applicationsJianyuan Wang, Kexin Liu, YuCheng Zhang, Biao Leng, Jinhu Lü · 2023 · Science China Technological Sciences
- Learning 3D Scene Synthesis from Annotated RGB‐D ImagesZeinab Sadeghipour Kermani, Z. Liao, Ping Tan, Hao Zhang · 2016 · Computer Graphics Forum
- RGBDTAM: A cost-effective and accurate RGB-D tracking and mapping systemAlejo Concha, Javier Civera · 2017 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Perceptual Deep Depth Super-ResolutionOleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander V. Notchenko, Gleb Bobrovskikh, Evgeny Vladimirovich Burnaev, Denis Zorin · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Distance transform regression for spatially-aware deep semantic segmentationNicolas Audebert, Alexandre Boulch, Bertrand Le Saux, Sébastien Lefèvre · 2019 · Computer Vision and Image Understanding
- RGB-D Co-attention Network for Semantic SegmentationHao Zhou, Lu Qi, Zhaoliang Wan, Hai Yun Huang, Xu Yang · 2021 · Lecture notes in computer science
- Semantic scene segmentation for roboticsJuana Valeria Hurtado, Abhinav Valada · 2022 · Elsevier eBooks
- 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene UnderstandingYujin Chen, Matthias Nießner, Angela Dai · 2022 · Lecture notes in computer science
- Dual Consensus Anchor Learning for Fast Multi-View ClusteringYalan Qin, Chuan Qin, Xinpeng Zhang, Guorui Feng · 2024 · IEEE Transactions on Image Processing
- Beyond Controlled Environments: 3D Camera Re-localization in Changing Indoor ScenesJohanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari · 2020 · Lecture notes in computer science
- DF2Net: Discriminative Feature Learning and Fusion Network for RGB-D Indoor Scene ClassificationYabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
- From Points to Multi-Object 3D ReconstructionFrancis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- PnP-3D: A Plug-and-Play for 3D Point CloudsShi Qiu, Saeed Anwar, Nick M. Barnes · 2021 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- A Comprehensive Review of Modern Object Segmentation ApproachesYuanbo Wang, Unaiza Ahsan, Hanyan Li, Matthew Hagen · 2022 · Foundations and Trends® in Computer Graphics and Vision
- A comprehensive survey of unmanned ground vehicle terrain traversability for unstructured environments and sensor technology insightsSemih Beyçimen, Dmitry Ignatyev, Argyrios C. Zolotas · 2023 · Engineering Science and Technology an International Journal
- Deep-Learning-Based 3-D Surface Reconstruction—A SurveyAnis Farshian, Markus Götz, Gabriele Cavallaro, Charlotte Debus, Matthias Nießner, Jón Atli Benediktsson, Achim Streit · 2023 · Proceedings of the IEEE
- Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in 3D Scene UnderstandingBruno Bodin, Luigi Nardi, M. Zeeshan Zia, Harry Wagstaff, Govind Sreekar Shenoy, Murali Krishna Emani, John Mawer, Christos Kotselidis, Andy P. Nisbet, Mikel Luján et al. · 2016 · International Conference on Parallel Architectures and Compilation Techniques (PACT)
- FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB ImageJingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Deep Dehazing Network With Latent Ensembling Architecture and Adversarial LearningYuenan Li, Yuhang Liu, Qixin Yan, Kuangshi Zhang · 2020 · IEEE Transactions on Image Processing
- TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in PracticeTianyu Sun, Guodong Zhang, Wenming Yang, Jing‐Hao Xue, Guijin Wang · 2023 · IEEE Transactions on Circuits and Systems for Video Technology
- Deep Learning–Based Autonomous Road Condition Assessment Leveraging Inexpensive RGB and Depth Sensors and Heterogeneous Data Fusion: Pothole Detection and QuantificationYu‐Ting Huang, Mohammad R. Jahanshahi, Fangjia Shen, Tarutal Ghosh Mondal · 2023 · Journal of Transportation Engineering Part B Pavements
- DCANet: Differential convolution attention network for RGB-D semantic segmentationLizhi Bai, Jun Yang, Chunqi Tian, Yaoru Sun, Maoyu Mao, Yanjun Xu, XU Wei-rong · 2025 · Pattern Recognition
- Are we done with object recognition? The iCub robot’s perspectiveGiulia Pasquale, Carlo Ciliberto, Francesca Odone, Lorenzo Rosasco, Lorenzo Natale · 2018 · Robotics and Autonomous Systems
- ASK: Adaptively Selecting Key Local Features for RGB-D Scene RecognitionZhitong Xiong, Yuan Yuan, Qi Wang · 2021 · IEEE Transactions on Image Processing
- Progressive Point Cloud Upsampling via Differentiable RenderingPingping Zhang, Xu Wang, Lin Ma, Shiqi Wang, Sam Kwong, Jianmin Jiang · 2021 · IEEE Transactions on Circuits and Systems for Video Technology
- Generating Visual Spatial Description via Holistic 3D Scene UnderstandingYu Qian Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat‐Seng Chua · 2023 · Proceedings of the conference - Association for Computational Linguistics. Meeting
- Efficient Multimodal Semantic Segmentation via Dual-Prompt LearningShaohua Dong, Yunhe Feng, Qing Yang, Yan Huang, Dongfang Liu, Heng Fan · 2024 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- The RobotriX: An Extremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and InteractionsAlberto García-García, Pablo Martínez-González, Sergiu Oprea, John Alejandro Castro-Vargas, Sergio Orts‐Escolano, José García‐Rodríguez, Álvaro Jover-Álvarez · 2018 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Rotation-Robust Intersection over Union for 3D Object DetectionYu Zheng, Danyang Zhang, Sinan Xie, Jiwen Lu, Jie Zhou · 2020 · Lecture notes in computer science
- Disentangled Information BottleneckZiqi Pan, Li Niu, Jianfu Zhang, Liqing Zhang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Two-Stage Cascaded Decoder for Semantic Segmentation of RGB-D ImagesYuchun Yue, Wujie Zhou, Jingsheng Lei, Lu Yu · 2021 · IEEE Signal Processing Letters
- CPPF: Towards Robust Category-Level 9D Pose Estimation in the WildYang You, Ruoxi Shi, Weiming Wang, Cewu Lu · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Pix3D: Dataset and Methods for Single-Image 3D Shape ModelingXingyuan Sun, Jiajun Wu, Xiuming Zhang, Zhoutong Zhang, Chengkai Zhang, Tianfan Xue, Joshua B. Tenenbaum, William T. Freeman · 2018 · arXiv (Cornell University)
- UCTNet: Uncertainty-Aware Cross-Modal Transformer Network for Indoor RGB-D Semantic SegmentationXiaowen Ying, Mooi Choo Chuah · 2022 · Lecture notes in computer science
- Learning Navigational Visual Representations with Semantic Map SupervisionHong, Yicong, Zhou, Yang, Zhang, Ruiyi, Dernoncourt, Franck, Bui, Trung, Gould, Stephen, Tan, Hao · 2023 · 2023 IEEE/CVF International Conference on Computer Vision (ICCV)
- Deep learning-based semantic segmentation of three-dimensional point cloud: a comprehensive reviewDheerendra Pratap Singh, Manohar Yadav · 2024 · International Journal of Remote Sensing
- Multimodal Neural Networks: RGB-D for Semantic Segmentation and Object DetectionSchneider, Lukas, Jasch, Manuel, Fröhlich, Björn, Weber, Thomas, Franke, Uwe, Pollefeys, Marc, Rätsch, Matthias · 2017 · Lecture Notes in Computer Science
- 3D computer vision based on machine learning with deep neural networks: A reviewKailas Vodrahalli, Achintya K. Bhowmik · 2017 · Journal of the Society for Information Display
- Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisS.M. Moein Peyghambarzadeh, Fatemeh Azizmalayeri, Hassan Khotanlou, Amir Salarpour · 2019 · Digital Signal Processing
- MSNet: multispectral semantic segmentation network for remote sensing imagesChongxin Tao, Yizhuo Meng, Junjie Li, Beibei Yang, Fengmin Hu, Yuanxi Li, Changlu Cui, Wen Zhang · 2022 · GIScience & Remote Sensing
- SG-VAE: Scene Grammar Variational Autoencoder to Generate New Indoor ScenesPulak Purkait, Christopher Zach, Ian D. Reid · 2020 · Lecture notes in computer science
- On 3D Reconstruction Using RGB-D CamerasKyriaki A. Tychola, Ioannis Tsimperidis, George A. Papakostas · 2022 · Digital
- D$$^3$$Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual GroundingDave Zhenyu Chen, Qirui Wu, Matthias Nießner, Angel X. Chang · 2022 · Lecture notes in computer science
- OmniVec2 - A Novel Transformer Based Network for Large Scale Multimodal and Multitask LearningSiddharth Srivastava, Gaurav Sharma · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Real-time 3D scene layout from a single image using Convolutional Neural NetworksShichao Yang, Daniel Maturana, Sebastian Scherer · 2016 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Reconstruction-Based Pairwise Depth Dataset for Depth Image Enhancement Using CNNJunho Jeon, Seungyong Lee · 2018 · Lecture notes in computer science
- 3D object detection: Learning 3D bounding boxes from scaled down 2D bounding boxes in RGB-D imagesMohammad Muntasir Rahman, Yanhao Tan, Jian Xue, Ling Shao, Ke Lü · 2018 · Information Sciences
- Siamese Dense Network for Reflection Removal with Flash and No-Flash Image PairsYakun Chang, Cheolkon Jung, Jun Sun, Fengqiao Wang · 2020 · International Journal of Computer Vision
- Attention-guided chained context aggregation for semantic segmentationQuan Tang, Fagui Liu, Tong Zhang, Jun Jiang, Yu Zhang · 2021 · Image and Vision Computing
- Neural Implicit Embedding for Point Cloud AnalysisKent Fujiwara, Taiichi Hashimoto · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and AnalysisJianwen Xie, Zilong Zheng, Ruiqi Gao, Wenguan Wang, Song Chun Zhu, Ying Nian Wu · 2020 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Hierarchical Multimodal Metric Learning for Multimodal ClassificationHeng Zhang, Vishal M. Patel, Rama Chellappa · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Hard pixel mining for depth privileged semantic segmentationGu, Zhangxuan, Niu, Li, Zhao, Haohua, Zhang, Liqing · 2021 · IEEE Transactions on Multimedia
- CaV3: Cache-assisted Viewport Adaptive Volumetric Video StreamingJunhua Liu, Boxiang Zhu, Fangxin Wang, Yili Jin, Wenyi Zhang, Zihan Xu, Shuguang Robert Cui · 2023 · IEEE Conference on Virtual Reality and 3D User Interfaces (VR)
- ACM: Adaptive Cross-Modal Graph Convolutional Neural Networks for RGB-D Scene RecognitionYuan Yuan, Zhitong Xiong, Qi Wang · 2019 · Proceedings of the AAAI Conference on Artificial Intelligence
- Structure Preserving Generative Cross-Domain LearningHaifeng Xia, Zhengming Ding · 2020 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle DetectionYi Wei, Shang Su, Jiwen Lu, Jie Zhou · 2021 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Improving Monocular Visual Odometry Using Learned DepthLibo Sun, Wei Yin, Enze Xie, Zhengrong Li, Changming Sun, Chunhua Shen · 2022 · IEEE Transactions on Robotics
- HyperDet3D: Learning a Scene-conditioned 3D Object DetectorYu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Chuan Tian · 2022 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Skeleton-guided generation of synthetic noisy point clouds from as-built BIM to improve indoor scene understandingShengjun Tang, Hongsheng Huang, Yunjie Zhang, Mengmeng Yao, Xiaoming Li, Linfu Xie, Weixi Wang · 2023 · Automation in Construction
- Modeling Camera Effects to Improve Visual Learning from Synthetic DataAlexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson‐Roberson · 2019 · Lecture notes in computer science
- Active Scene Understanding via Online Semantic ReconstructionLintao Zheng, Chenyang Zhu, Jiazhao Zhang, Hang Zhao, Hui Fei Huang, Matthias Nießner, Kai Xu · 2019 · Computer Graphics Forum
- Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose EstimationSiyuan Huang, Siyuan Qi, Yinxue Xiao, Yixin Zhu, Ying Nian Wu, Song Chun Zhu · 2018 · arXiv (Cornell University)
- Pick-and-Place Transform Learning for Fast Multi-View ClusteringQiangqiang Shen, Yongyong Chen, Changqing Zhang, Yonghong Tian, Yongsheng Liang · 2024 · IEEE Transactions on Image Processing
- Probabilistic Structure from Motion with Objects (PSfMO)Paul Gay, Vaibhav Bansal, Cosimo Rubino, Alessio Del Bue · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Toward Achieving Robust Low-Level and High-Level Scene ParsingBing Shuai, Henghui Ding, Ting Liu, Gang Wang, Xudong Jiang · 2018 · IEEE Transactions on Image Processing
- Transferable Semi-Supervised 3D Object Detection From RGB-D DataYew Siang Tang, Gim Hee Lee · 2019 · IEEE/CVF International Conference on Computer Vision (ICCV)
- Deep Multi-View Learning Using Neuron-Wise Correlation-Maximizing RegularizersKui Jia, Jiehong Lin, Mingkui Tan, Dacheng Tao · 2019 · IEEE Transactions on Image Processing
- Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ LossYaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao · 2020 · IEEE Transactions on Neural Networks and Learning Systems
- Incomplete multi-view clustering via virtual-label guided matrix factorizationXiangyu Liu, Peng Song · 2022 · Expert Systems with Applications
- Small Obstacle Avoidance Based on RGB-D Semantic SegmentationMinjie Hua, Yibing Nan, Shiguo Lian · 2019 · IEEE International Conference on Computer Vision Workshops
- Object-to-Scene: Learning to Transfer Object Knowledge to Indoor Scene RecognitionBo Miao, Liguang Zhou, Ajmal Saeed Mian, Tin Lun Lam, Yangsheng Xu · 2021 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Exploiting depth from single monocular images for object detection and semantic segmentationCao, Y, Shen, C, Heng Tao Shen · 2017 · UTS ePRESS (University of Technology Sydney)
- HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and ReconstructionsAndrew Guo, Bowen Wen, Jianhe Yuan, Jonathan Tremblay, Stephen Tyree, Jeffrey Smith, Stan T. Birchfield · 2023 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
- Deep learning based computer vision under the prism of 3D point clouds: a systematic reviewKyriaki A. Tychola, Εleni Vrochidou, George A. Papakostas · 2024 · The Visual Computer
- EdgeFM: Leveraging Foundation Model for Open-set Learning on the EdgeBufang Yang, Lixing He, Neiwen Ling, Zhenyu Yan, Guoliang Xing, Xian Shuai, Xiaozhe Ren, Xin Jiang · 2023 · ACM Conference on Embedded Networked Sensor Systems (SenSys)
- Visual Programming for Zero-Shot Open-Vocabulary 3D Visual GroundingZhihao Yuan, Jinke Ren, Chun-Mei Feng, Hengshuang Zhao, Shuguang Robert Cui, Zhen Li · 2024 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- Geometric Deep Learning for Computer-Aided Design: A SurveyNegar Heidari, Alexandros Iosifidis · 2025 · IEEE Access
- Unsupervised Learning of Category-Specific Symmetric 3D Keypoints from Point SetsClara Fernandez-Labrador, Ajad Chhatkuli, Danda Pani Paudel, J.J. Guerrero, Cédric Demonceaux, Luc Van Gool · 2020 · Lecture notes in computer science
- GeoRec: Geometry-enhanced semantic 3D reconstruction of RGB-D indoor scenesLinxi Huan, Xianwei Zheng, Jianya Gong · 2022 · ISPRS Journal of Photogrammetry and Remote Sensing
- Point Cloud Upsampling Algorithm: A Systematic ReviewYan Zhang, Wenhan Zhao, Bo Sun, Ying Zhang, Wen Wen · 2022 · Algorithms
- Indoor Scene Recognition via Object Detection and TF-IDFEdvard Heikel, Leonardo Espinosa-Leal · 2022 · Journal of Imaging
- Recent Advances in Conventional and Deep Learning-Based Depth Completion: A SurveyZexiao Xie, Xiaoxuan Yu, Xiang Gao, Kunqian Li, Shuhan Shen · 2022 · IEEE Transactions on Neural Networks and Learning Systems
- Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic SegmentationMaheshwari, Harsh, Liu, Yen-Cheng, Kira, Zsolt · 2024 · 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
- Semantics-guided multi-level RGB-D feature fusion for indoor semantic segmentationYabei Li, Junge Zhang, Yanhua Cheng, Kaiqi Huang, Tieniu Tan · 2017 · Proceedings - International Conference on Image Processing
- Robust and Globally Optimal Manhattan Frame Estimation in Near Real TimeKyungdon Joo, Tae-Hyun Oh, Junsik Kim, I. Kweon · 2016 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Sensor Transfer: Learning Optimal Sensor Effect Image Augmentation for Sim-to-Real Domain AdaptationAlexandra Carlson, Katherine A. Skinner, Ram Vasudevan, Matthew Johnson‐Roberson · 2019 · IEEE Robotics and Automation Letters
- Incorporating depth into both CNN and CRF for indoor semantic segmentationJindong Jiang, Zhijun Zhang, Yongqian Huang, Lunan Zheng · 2017 · IEEE International Conference on Software Engineering and Service Science (ICSESS)
- 2.5D Convolution for RGB-D Semantic SegmentationYajie Xing, Jingbo Wang, Xiaokang Chen, Gang Zeng · 2019 · Proceedings - International Conference on Image Processing
- Frustum VoxNet for 3D object detection from RGB-D or Depth imagesXiaoke Shen, Ioannis Stamos · 2020 · IEEE Winter Conference on Applications of Computer Vision
- A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object DetectionSeong‐heum Kim, Youngbae Hwang · 2021 · Electronics
- Boundary-induced and scene-aggregated network for monocular depth predictionFeng Xue, Junfeng Cao, Yu Zhou, Fei Sheng, Yankai Wang, Anlong Ming · 2021 · Pattern Recognition
- Refer-it-in-RGBD: A Bottom-up Approach for 3D Visual Grounding in RGBD ImagesHaolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Robert Cui · 2021 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
- A survey of 3D object detectionWei Ge Liang, Pengfei Xu, Ling Guo, Heng Bai, Yang Zhou, Feng Chen · 2021 · Multimedia Tools and Applications
- CMANet: Cross-Modality Attention Network for Indoor-Scene Semantic SegmentationLongze Zhu, Zhizhong Kang, Mei Zhou, Xi Chen Yang, Zhen Wang, Zhen Cao, Chenming Ye · 2022 · Sensors
- Deep learning-based semantic segmentation of urban-scale 3D meshes in remote sensing: A surveyJibril Muhammad Adam, Weiquan Liu, Yu Zang, Muhammad Kamran Afzal, Saifullahi Aminu Bello, Abdullahi Uwaisu Muhammad, Cheng Wang, Jonathan Li · 2023 · International Journal of Applied Earth Observation and Geoinformation
- Deep Learning for Vision-based Prediction: A SurveyAmir Rasouli · 2020 · arXiv (Cornell University)
- DeepMixYongjie Guan, Xueyu Hou, Nan Wu, Bo Han, Tao Han · 2022 · International Conference on Mobile Systems, Applications, and Services
- Graph Neural Networks in Point Clouds: A SurveyDilong Li, Chenghui Lu, Ziyi Chen, Jianlong Guan, Jing Zhao, Ji‐Xiang Du · 2024 · Remote Sensing
- Open-Fusion: Real-time Open-Vocabulary 3D Mapping and Queryable Scene RepresentationKashu Yamazaki, Taisei Hanyu, Khoa Vo, Thang M. Pham, Minh Tran, Gianfranco Doretto, Anh Nguyen, Ngan Le · 2024 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings