{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:59:20Z","timestamp":1750309160797,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":41,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,20]]},"DOI":"10.1145\/3634865.3634869","type":"proceedings-article","created":{"date-parts":[[2024,5,29]],"date-time":"2024-05-29T20:13:03Z","timestamp":1717013583000},"page":"7-18","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Depth Estimation Using Monocular Camera for Real-World Multi-Object Grasp Detection for Robotic Arm"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-4784-636X","authenticated-orcid":false,"given":"Vayam","family":"Jain","sequence":"first","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-6975-6038","authenticated-orcid":false,"given":"Anunay","family":"Anunay","sequence":"additional","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9126-2502","authenticated-orcid":false,"given":"Astik","family":"Srivastava","sequence":"additional","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4866-3962","authenticated-orcid":false,"given":"Arjun","family":"Gupta","sequence":"additional","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8422-9440","authenticated-orcid":false,"given":"Nilesh","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4357-8332","authenticated-orcid":false,"given":"Harikesh","family":"Harikesh","sequence":"additional","affiliation":[{"name":"UAS-DTU LAB,ECE Department DTU, Delhi Technological University, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. The International Journal of Robotics Research, 36(13-14), 1425-1440","author":"K.","year":"2017","unstructured":"Mahler, J., Liang, J., Niyaz, S., Laskey, M., Doan, R., Liu, X., ... Goldberg, K. (2017). Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics. The International Journal of Robotics Research, 36(13-14), 1425-1440"},{"key":"e_1_3_2_1_2_1","volume-title":"Generative Grasp Synthesis Approach. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 1-8)","author":"A.","year":"2018","unstructured":"Morrison, D., Corke, P., Leitner, J., & Wachtel, A. (2018). Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 1-8)"},{"key":"e_1_3_2_1_3_1","volume-title":"IEEE International Conference on Robotics and Automation (ICRA) (pp. 3406-3413)","author":"A.","year":"2016","unstructured":"Pinto, L., & Gupta, A. (2016). Supersizing Self-supervision: Learning to Grasp from 50K Tries and 700 Robot Hours. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 3406-3413)."},{"key":"e_1_3_2_1_4_1","volume-title":"IEEE International Conference on Robotics and Automation (ICRA) (pp. 1316-1322)","author":"A.","year":"2015","unstructured":"Redmon, J., & Angelova, A. (2015). Real-time grasp detection using convolutional neural networks. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 1316-1322)"},{"issue":"4","key":"e_1_3_2_1_5_1","first-page":"705","article-title":"Deep learning for detecting robotic grasps","volume":"34","author":"A.","year":"2015","unstructured":"Lenz, I., Lee, H., & Saxena, A. (2015). Deep learning for detecting robotic grasps. The International Journal of Robotics Research, 34(4-5), 705-724","journal-title":"The International Journal of Robotics Research"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the IEEE International Conference on Computer Vision (pp. 281-288)","author":"D.","year":"2011","unstructured":"Jiang, N., Yang, M., & Hoiem, D. (2011). A linear programming approach for optimal single-image 3D reconstruction of symmetric objects. In Proceedings of the IEEE International Conference on Computer Vision (pp. 281-288)"},{"key":"e_1_3_2_1_7_1","unstructured":"Coumans E. & Bai Y. (2016\u20132020). PyBullet: Physics simulation for games robotics machine learning and computer vision. Retrieved from https:\/\/pybullet.org"},{"key":"e_1_3_2_1_8_1","volume-title":"MVgrasp: Real-time multi-view 3D object grasping in highly cluttered environments. arXiv preprint arXiv:2103.10997","author":"M.","year":"2021","unstructured":"Kasaei, H., & Kasaei, M. (2021). MVgrasp: Real-time multi-view 3D object grasping in highly cluttered environments. arXiv preprint arXiv:2103.10997"},{"key":"e_1_3_2_1_9_1","volume-title":"Deep Learning for Detecting Robotic Grasps,\" in ICLR","author":"Lenz I.","year":"2013","unstructured":"I. Lenz, H. Lee and A. Saxena, \"Deep Learning for Detecting Robotic Grasps,\" in ICLR, 2013."},{"key":"e_1_3_2_1_10_1","volume-title":"Jacquard: A Large Scale Dataset for Robotic Grasp Detection,\" in International Conference on Intelligent Robots and Systems","author":"Depierre A.","year":"2018","unstructured":"A. Depierre, E. Dellandr\u00e9a and L. Chen, \"Jacquard: A Large Scale Dataset for Robotic Grasp Detection,\" in International Conference on Intelligent Robots and Systems, 2018"},{"key":"e_1_3_2_1_11_1","volume-title":"Robotic Grasping from Classical to Modern: A Survey","author":"Zhang H.","year":"2022","unstructured":"H. Zhang, J. Tang, S. Sun and X. Lan, \"Robotic Grasping from Classical to Modern: A Survey,\" 2022."},{"key":"e_1_3_2_1_12_1","volume-title":"Overview of a Robotic Arm,\" Ijraset Journal For Research in Applied Science and Engineering Technology","author":"Bakrewal A.","year":"2013","unstructured":"A. Bakrewal and K. Siddharth, \"Overview of a Robotic Arm,\" Ijraset Journal For Research in Applied Science and Engineering Technology, 2013"},{"key":"e_1_3_2_1_13_1","volume-title":"Robotic arm design, development and control for agriculture applications,\" in International Conference on Advanced Computing and Communication Systems (ICACCS)","author":"Megalingam R. K.","year":"2017","unstructured":"R. K. Megalingam, G. V. Vivek, S. Bandyopadhyay and M. J. Rahi, \"Robotic arm design, development and control for agriculture applications,\" in International Conference on Advanced Computing and Communication Systems (ICACCS), 2017."},{"key":"e_1_3_2_1_14_1","unstructured":"A. R D. Manasa M. C. Radhika M. M. Y and T. R \"Patient Monitoring and Assistance using Robotic ARM \" IJERT vol. 9 no. 12 2021"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCRE57112.2023.10155585"},{"key":"e_1_3_2_1_16_1","volume-title":"A Real-time Pseudo Dense Depth Guided Depth Completion","author":"Gu J.","year":"2021","unstructured":"J. Gu, Z. Xiang, Y. Ye and . L. Wang, \"DenseLiDAR: A Real-time Pseudo Dense Depth Guided Depth Completion,\" 2021.\u00a0"},{"key":"e_1_3_2_1_17_1","volume-title":"SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite,\" in IEEE Conference on Computer Vision and Pattern Recognition","author":"Song S.","year":"2015","unstructured":"S. Song, S. Lichtenberg and J. Xiao, \"SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite,\" in IEEE Conference on Computer Vision and Pattern Recognition, 2015"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"R. Ranftl A. Bochkovskiy and A. V. Koltun \"Vision Transformers for Dense Prediction \" 2021","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"e_1_3_2_1_19_1","volume-title":"li, S. You and F. Lu, \"Detail preserving depth estimation from a single image using attention guided networks,\" in International Conference on 3D Vision (3DV)","author":"Hao Z.","year":"2018","unstructured":"Z. Hao, Y. li, S. You and F. Lu, \"Detail preserving depth estimation from a single image using attention guided networks,\" in International Conference on 3D Vision (3DV), 2018"},{"key":"e_1_3_2_1_20_1","volume-title":"Deep Ordinal Regression Network for Monocular Depth Estimation,\" in Conference on Computer Vision and Pattern Recognition","author":"Fu H.","year":"2018","unstructured":"H. Fu, M. Gong, C. Wang, K. Batmanghelich and D. Tao, \"Deep Ordinal Regression Network for Monocular Depth Estimation,\" in Conference on Computer Vision and Pattern Recognition, 2018"},{"key":"e_1_3_2_1_21_1","volume-title":"Fast and accurate recovery of occluding contours in monocular depth estimation,\" in International Conference on Computer Vision","author":"Ramamonjisoa M.","year":"2019","unstructured":"M. Ramamonjisoa and V. Lepetit, \"Fast and accurate recovery of occluding contours in monocular depth estimation,\" in International Conference on Computer Vision, 2019"},{"key":"e_1_3_2_1_22_1","volume-title":"Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries,\" in IEEE Winter Conference on Applications of Computer Vision","author":"Hu J.","year":"2019","unstructured":"J. Hu, M. Ozay, Y. Zhang and T. Okatani, \"Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries,\" in IEEE Winter Conference on Applications of Computer Vision, 2019"},{"key":"e_1_3_2_1_23_1","volume-title":"Structure Aware residual pyramid network for monocular depth estimation,\" in arXiv:1907.06023","author":"Chen X.","year":"2019","unstructured":"X. Chen and Z. J. Zha, \"Structure Aware residual pyramid network for monocular depth estimation,\" in arXiv:1907.06023.,, 2019.\u00a0"},{"key":"e_1_3_2_1_24_1","volume-title":"Enforcing geometric constraints of virtual normal for depth prediction,\" in International Conference on Computer Vision","author":"Yin W.","year":"2019","unstructured":"W. Yin, Y. Liu, X. Shen and Y. Yan, \"Enforcing geometric constraints of virtual normal for depth prediction,\" in International Conference on Computer Vision, 2019"},{"key":"e_1_3_2_1_25_1","volume-title":"Multi-scale local planar guidance for monocular depth estimation,\" in arXiv:1907.10326","author":"Lee J. H.","year":"2019","unstructured":"J. H. Lee, M. K. Han, I. H. Suh and D. K. Wook , \"From big to small: Multi-scale local planar guidance for monocular depth estimation,\" in arXiv:1907.10326, 2019"},{"key":"e_1_3_2_1_26_1","volume-title":"Guiding monocular depth estimation using depth-attention volume,\" in European Conference on Computer Vision","author":"Huynh L.","year":"2020","unstructured":"L. Huynh, P. Nguyen-Ha, J. Matas, E. Rahtu and J. Heikkil\u00e4, \"Guiding monocular depth estimation using depth-attention volume,\" in European Conference on Computer Vision, 2020"},{"key":"e_1_3_2_1_27_1","volume-title":"AdaBins: Depth Estimation using Adaptive Bins,\" in arXiv:2011.14141","author":"Bhat S. F.","year":"2020","unstructured":"S. F. Bhat, P. Wonka and I. Alhashim, \"AdaBins: Depth Estimation using Adaptive Bins,\" in arXiv:2011.14141., 2020"},{"key":"e_1_3_2_1_28_1","volume-title":"Depth map prediction from a single image using a multi-scale deep network,\" in ICLR","author":"Eigen D.","year":"2014","unstructured":"D. Eigen, C. Puhrsch and R. Fergus, \"Depth map prediction from a single image using a multi-scale deep network,\" in ICLR, 2014"},{"key":"e_1_3_2_1_29_1","volume-title":"Learning depth from single monocular images using deep convolutional neural fields,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence","author":"Liu F.","year":"2016","unstructured":"F. Liu, C. Shen, G. Lin and I. Reid, \"Learning depth from single monocular images using deep convolutional neural fields,\" in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016"},{"key":"e_1_3_2_1_30_1","volume-title":"Unsupervised Monocular Depth Estimation With Left-Right Consistency,\" in IEEE Conference on Computer Vision and Pattern Recognition","author":"Godard C.","year":"2017","unstructured":"C. Godard, O. M. Aodha and G. J. Brostow, \"Unsupervised Monocular Depth Estimation With Left-Right Consistency,\" in IEEE Conference on Computer Vision and Pattern Recognition, 2017"},{"key":"e_1_3_2_1_31_1","volume-title":"Semi-supervised deep learning for monocular depth map prediction,\" in IEEE Conference on Computer Vision and Pattern Recognition","author":"Kuznietsov Y.","year":"2017","unstructured":"Y. Kuznietsov, J. Stuckler and B. Leibe, \"Semi-supervised deep learning for monocular depth map prediction,\" in IEEE Conference on Computer Vision and Pattern Recognition, 2017"},{"key":"e_1_3_2_1_32_1","volume-title":"Monocular depth estimation with affinity, vertical pooling, and label enhancement,\",\" in European Conference on Computer Vision","author":"Gan Y.","year":"2018","unstructured":"Y. Gan, X. Xu, W. Sun and L. Lin, \"Monocular depth estimation with affinity, vertical pooling, and label enhancement,\",\" in European Conference on Computer Vision, 2018"},{"key":"e_1_3_2_1_33_1","volume-title":"Efficient grasping from rgbd images: Learning using a new rectangle representation,\" in IEEE International Conference on Robotics and Automation","author":"Jiang Y.","year":"2011","unstructured":"Y. Jiang, S. Moseson and A. Saxena, \"Efficient grasping from rgbd images: Learning using a new rectangle representation,\" in IEEE International Conference on Robotics and Automation, 2011.\u00a0"},{"key":"e_1_3_2_1_34_1","volume-title":"Real-time grasp detection using convolutional neural network,\" in IEEE International Conference on Robotics and Automation","author":"Redmon J.","year":"2015","unstructured":"J. Redmon and A. Angelova, \"Real-time grasp detection using convolutional neural network,\" in IEEE International Conference on Robotics and Automation, 2015"},{"volume-title":"Robot grasp detection using multimodal deep convolutional neural networks,\" Advances in Mechanical Engineering","author":"Wang Z.","key":"e_1_3_2_1_35_1","unstructured":"Z. Wang, Z. Li, B. Wang and H. Liu, \"Robot grasp detection using multimodal deep convolutional neural networks,\" Advances in Mechanical Engineering, vol. 8, no. 9, 2016.\u00a0"},{"key":"e_1_3_2_1_36_1","volume-title":"Object detection approach for robot grasp detection,\" in International Conference on Robotics and Automation","author":"Karaoguz H.","year":"2019","unstructured":"H. Karaoguz and P. Jensfelt, \"Object detection approach for robot grasp detection,\" in International Conference on Robotics and Automation, 2019.\u00a0"},{"key":"e_1_3_2_1_37_1","volume-title":"Graspnet: An efficient convolutional neural network for real-time grasp detection for low-powered devices,\" in IJCAI","author":"Asif U.","year":"2018","unstructured":"U. Asif, J. Tang and S. Harrer, \"Graspnet: An efficient convolutional neural network for real-time grasp detection for low-powered devices,\" in IJCAI, 2018.\u00a0"},{"key":"e_1_3_2_1_38_1","volume-title":"Robotic grasp detection using deep convolutional neural networks,\" in International Conference on Intelligent Robots and Systems (IROS)","author":"Kumra S.","year":"2017","unstructured":"S. Kumra and C. Kanan, \"Robotic grasp detection using deep convolutional neural networks,\" in International Conference on Intelligent Robots and Systems (IROS), 2017"},{"key":"e_1_3_2_1_39_1","volume-title":"Jacquard: A large scale dataset for robotic grasp detection,\" in International Conference on Intelligent Robots and Systems","author":"Depierre A.","year":"2018","unstructured":"A. Depierre, E. Dellandrea and L. Chen, \"Jacquard: A large scale dataset for robotic grasp detection,\" in International Conference on Intelligent Robots and Systems, 2018"},{"key":"e_1_3_2_1_40_1","volume-title":"Fully convolutional grasp detection network with oriented anchor box,\" in International Conference on Intelligent Robots and Systems","author":"Zhou X.","year":"2018","unstructured":"X. Zhou, X. Lan, H. Zhang, Z. Tian and Y. Zhang, \"Fully convolutional grasp detection network with oriented anchor box,\" in International Conference on Intelligent Robots and Systems, 2018."},{"key":"e_1_3_2_1_41_1","unstructured":"Aggarwal Nilesh Vayam Jain and Jp Kesari. \"Image-based visual servoing for tracking and landing on a moving target using a multirotor.\" (2021)."}],"event":{"name":"ICSCC 2023: 2023 8th International Conference on Systems, Control and Communications","acronym":"ICSCC 2023","location":"Chongqing China"},"container-title":["Proceedings of the 2023 8th International Conference on Systems, Control and Communications"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3634865.3634869","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3634865.3634869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:51:06Z","timestamp":1750287066000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3634865.3634869"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"references-count":41,"alternative-id":["10.1145\/3634865.3634869","10.1145\/3634865"],"URL":"https:\/\/doi.org\/10.1145\/3634865.3634869","relation":{},"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"2024-05-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}