• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 169 matches

• 2023
• 
  Guoyu Zuo, Jiayuan Tong, Zihao Wang, Daoxiong Gong:
  A Graph-Based Deep Reinforcement Learning Approach to Grasping Fully Occluded Objects. Cogn. Comput. 15(1): 36-49 (2023)
• 
  Mingshuai Dong, Yuxuan Bai, Shimin Wei, Xiuli Yu:
  Real-World Semantic Grasp Detection Using Ontology Features: Learning to Concentrate on Object Features. Neural Process. Lett. 55(6): 8419-8439 (2023)
• 
  Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo:
  HybGrasp: A Hybrid Learning-to-Adapt Architecture for Efficient Robot Grasping. IEEE Robotics Autom. Lett. 8(12): 8390-8397 (2023)
• 
  Jingyu Chen, Ruidong Ma, John Oyekan:
  A deep multi-agent reinforcement learning framework for autonomous aerial navigation to grasping points on loads. Robotics Auton. Syst. 167: 104489 (2023)
• 
  Rhys Newbury, Morris Gu, Lachlan Chumbley, Arsalan Mousavian, Clemens Eppner, Jürgen Leitner, Jeannette Bohg, Antonio Morales, Tamim Asfour, Danica Kragic, Dieter Fox, Akansel Cosgun:
  Deep Learning Approaches to Grasp Synthesis: A Review. IEEE Trans. Robotics 39(5): 3994-4015 (2023)
• 
  Peeranut Pongpakatien, Arnan Sipitakiat:
  An Iterative Learning Approach for Novice Engineering Students to Grasp Important Concepts in Autonomous Systems. TENCON 2023: 1-6
• 
  Lei Zhang, Kaixin Bai, Zhaopeng Chen, Yunlei Shi, Jianwei Zhang:
  Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning. CoRR abs/2301.12249 (2023)
• 
  Wei Chen, Dongmyoung Lee, Digby Chappell, Nicolás Rojas:
  Learning to Grasp Clothing Structural Regions for Garment Manipulation Tasks. CoRR abs/2306.14553 (2023)
• 
  François Hélénon, Johann Huber, Faïz Ben Amar, Stéphane Doncieux:
  Learning to Grasp: from Somewhere to Anywhere. CoRR abs/2310.04349 (2023)
• 
  Koki Yamane, Sho Sakaino, Toshiaki Tsuji:
  Soft and Rigid Object Grasping With Cross-Structure Hand Using Bilateral Control-Based Imitation Learning. CoRR abs/2311.09555 (2023)
• 2022
• 
  Giuseppe Averta, Federica Barontini, Irene Valdambrini, Paolo Cheli, Davide Bacciu, Matteo Bianchi:
  Learning to Prevent Grasp Failure with Soft Hands: From Online Prediction to Dual-Arm Grasp Recovery. Adv. Intell. Syst. 4(3) (2022)
• 
  Ping Jiang, Junji Oaki, Yoshiyuki Ishihara, Jun'ichiro Ooga, Haifeng Han, Atsushi Sugahara, Seiji Tokura, Haruna Eto, Kazuma Komoda, Akihito Ogawa:
  Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking. Frontiers Neurorobotics 16: 806898 (2022)
• 
  Charles Abreu Santana, Sandro C. Izidoro, Raquel Cardoso de Melo Minardi, Jonathan D. Tyzack, António J. M. Ribeiro, Douglas E. V. Pires, Janet M. Thornton, Sabrina de Azevedo Silveira:
  GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs. Nucleic Acids Res. 50(W1): 392-397 (2022)
• 
  Antonio Alliegro, Martin Rudorfer, Fabio Frattin, Ales Leonardis, Tatiana Tommasi:
  End-to-End Learning to Grasp via Sampling From Object Point Clouds. IEEE Robotics Autom. Lett. 7(4): 9865-9872 (2022)
• 
  Kelin Li, Nicholas Baron, Xian Zhang, Nicolás Rojas:
  EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-Fingered Robot Hands. IEEE Robotics Autom. Lett. 7(4): 8619-8626 (2022)
• 
  Gang Yan, Alexander Schmitz, Satoshi Funabashi, Sophon Somlor, Tito Pradhono Tomo, Shigeki Sugano:
  A Robotic Grasping State Perception Framework With Multi-Phase Tactile Information and Ensemble Learning. IEEE Robotics Autom. Lett. 7(3): 6822-6829 (2022)
• 
  Yongkui Liu, He Xu, Ding Liu, Lihui Wang:
  A digital twin-based sim-to-real transfer for deep reinforcement learning-enabled industrial robot grasping. Robotics Comput. Integr. Manuf. 78: 102365 (2022)
• 
  Mehmet Baygin, Prabal Datta Barua, Sengül Dogan, Türker Tuncer, Sefa Key, U. Rajendra Acharya, Kang Hao Cheong:
  A Hand-Modeled Feature Extraction-Based Learning Network to Detect Grasps Using sEMG Signal. Sensors 22(5): 2007 (2022)
• 
  Yuanhao Li, Panfeng Huang, Zhiqiang Ma, Lu Chen:
  A Context-Free Method for Robust Grasp Detection: Learning to Overcome Contextual Bias. IEEE Trans. Ind. Electron. 69(12): 13121-13130 (2022)
• 
  Pengwen Xiong, Xiaobao Tong, Aiguo Song, Peter X. Liu:
  Robotic Multifinger Grasping State Recognition Based on Adaptive Multikernel Dictionary Learning. IEEE Trans. Instrum. Meas. 71: 1-14 (2022)
• 
  Amir Mehman Sefat, Alexandre Angleraud, Esa Rahtu, Roel Pieters:
  SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration. CASE 2022: 390-396
• 
  Shuai Ma, Taichang Zhou, Fei Nie, Xiaojuan Ma:
  Glancee: An Adaptable System for Instructors to Grasp Student Learning Status in Synchronous Online Classes. CHI 2022: 313:1-313:25
• 
  Wenxuan Zhou, David Held:
  Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity. CoRL 2022: 150-160
• 
  Connor Gaede, Matthias Kerzel, Erik Strahl, Stefan Wermter:
  Sim-to-Real Neural Learning with Domain Randomisation for Humanoid Robot Grasping. ICANN (1) 2022: 342-354
• 
  Chilam Cheang, Haitao Lin, Yanwei Fu, Xiangyang Xue:
  Learning 6-DoF Object Poses to Grasp Category-Level Objects by Language Instructions. ICRA 2022: 8476-8482
• 
  Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro:
  A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA 2022: 6365-6371
• 
  Albert Wilcox, Justin Kerr, Brijen Thananjeyan, Jeffrey Ichnowski, Minho Hwang, Samuel Paradis, Danyal Fer, Ken Goldberg:
  Learning to Localize, Grasp, and Hand Over Unmodified Surgical Needles. ICRA 2022: 9637-9643
• 
  Chao Zhao, Zhekai Tong, Juan Rojas, Jungwon Seo:
  Learning to Pick by Digging: Data-Driven Dig-Grasping for Bin Picking from Clutter. ICRA 2022: 749-754
• 
  Andrej Orsula, Simon Bøgh, Miguel A. Olivares-Méndez, Carol Martínez:
  Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning. IROS 2022: 4112-4119
• 
  Min-Fan Ricky Lee, Fu-Yao Hsu, Hoang-Phuong Doan, Quang-Duy To, Yavier Kristanto:
  Deep Learning based Visual Object Recognition for Manipulator Grasps. MESA 2022: 1-6

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