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2326 result(s) for “Deep Learning in Grasping and Manipulation” Page 1 of 47
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Dual-Critic Deep Reinforcement Learning for Push-Grasping Synergy in Cluttered Environment
Jiakang Zhong, Yew Wee Wong, Jiong Jin, yong song, Xianfeng Yuan, Xiaoqi Chen
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Harnessing the Synergy between Pushing, Grasping, and Throwing to Enhance Object Manipulation in Cluttered Scenarios
Hamidreza Kasaei, Mohammadreza Kasaei
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Self-supervised Learning for Joint Pushing and Grasping Policies in Highly Cluttered Environments
Yongliang Wang, Kamal Mokhtar, Cock Heemskerk, Hamidreza Kasaei
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GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning Based on Online Grasping Pose Fusion
Jiazhao Zhang, Gireesh Nandiraju, Jilong Wang, Xiaomeng Fang, Chaoyi Xu, Weiguang Chen, Liu Dai, He Wang
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AcTExplore: Active Tactile Exploration on Unknown Objects
Amir Hossein Shahidzadeh, Seong Jong Yoo, Pavan Mantripragada, Chahat Deep Singh, Cornelia Fermuller, Yiannis Aloimonos
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Self-Supervised Regression of sEMG Signals Combining Non-Negative Matrix Factorization with Deep Neural Networks for Robot Hand Multiple Grasping Motion Control
Roberto Meattini, Alessio Caporali, Alessandra Bernardini, Gianluca Palli, Claudio Melchiorri
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Beyond Coulomb: Stochastic Friction Models for Practical Grasping and Manipulation
Zixi Liu, Robert D. Howe
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Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning
Luuk van den Bent, Tomás Coleman, Robert Babuska
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6-DoF Closed-Loop Grasping with Reinforcement Learning
Sverre Herland, Kerstin Bach, Ekrem Misimi
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Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
Cai Mingyu, Karankumar Patel, Soshi Iba, Songpo Li
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
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Close the Sim2real Gap Via Physically-Based Structured Light Synthetic Data Simulation
Kaixin Bai, Lei Zhang, Zhaopeng Chen, Fang Wan, Jianwei Zhang
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Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing
Fan Zhang, Yiannis Demiris
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Bi-Touch: Bimanual Tactile Manipulation with Sim-To-Real Deep Reinforcement Learning
Yijiong Lin, Alex Church, Max Yang, Haoran Li, John Lloyd, Dandan Zhang, Nathan Lepora
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Joint-Loss Enhanced Self-Supervised Learning for Refinement-Coupled Object 6D Pose Estimation
Fengjun Mu, Shixiang Sun, Rui Huang, Chaobin Zou, Wenjiang Li, Huayi Zhan, Hong Cheng
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Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous Robots
Bahador Beigomi, ZhengHong (George) Zhu
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Deep Learning Based 6-DoF Antipodal Grasp Planning from Point Cloud in Random Bin-Picking Task Using Single-View
Tat Hieu Bui, Yeong Gwang Son, Seung Jae moon, Quang Huy Nguyen, Issac Rhee, Juyong Hong, Hyouk Ryeol Choi
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TPGP: Temporal-Parametric Optimization with Deep Grasp Prior for Dexterous Motion Planning
Haoming Li, Qi Ye, Yuchi Huo, Qingtao Liu, Shijian Jiang, Tao Zhou, Xiang Li, Yang Zhou, Jiming Chen
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InterRep: A Visual Interaction Representation for Robotic Grasping
Yu Cui, Qi Ye, Qingtao Liu, Anjun Chen, Gaofeng Li, Jiming Chen
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Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter
Seunghyeon Lim, Youngjae Yoo, Lee Jun Ki, Byoung-Tak Zhang
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A Linkage-Driven Underactuated Robotic Hand for Adaptive Grasping and In-Hand Manipulation
Guotao Li, Xu Liang, Yifan Gao, Tingting Su, Zhijie Liu, Zeng-Guang Hou
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Sim-To-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang, Yijiong Lin, Alex Church, John Lloyd, Dandan Zhang, David A. W. Barton, Nathan Lepora
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The Grasp Reset Mechanism: An Automated Apparatus for Conducting Grasping Trials
Kyle DuFrene, Keegan Nave, Joshua Campbell, Ravi Balasubramanian, Cindy Grimm
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Information-Driven Affordance Discovery for Efficient Robotic Manipulation
Pietro Mazzaglia, Taco Cohen, Daniel Dijkman
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DenseTact-Mini: An Optical Tactile Sensor for Grasping Multi-Scale Objects from Flat Surfaces
Won Kyung Do, Ankush Dhawan, Mathilda Kitzmann, Monroe Kennedy
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DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic Manipulation of Deformable Linear Objects
Sun Zhaole, Jihong Zhu, Robert Fisher
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Single-Motor Robotic Gripper with Three Functional Modes for Grasping in Confined Spaces
Toshihiro Nishimura, Tetsuyou Watanabe
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A Phase-Change Emulsion Jamming Gripper for Manipulation of Micro-Scale Textured Surfaces
Alexander Keller, Tianqi Yue, Qiukai Qi, Andrew Conn, Jonathan Rossiter
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Toward the Use of Proxies for Efficient Learning Manipulation and Locomotion Strategies on Soft Robots
Etienne Ménager, Quentin Peyron, Christian Duriez
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Anthropomorphic Grasping with Neural Object Shape Completion
Diego Xavier Hidalgo Carvajal, Hanzhi Chen, Gemma Carolina Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, Stefan Leutenegger, Sami Haddadin
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Active-Perceptive Motion Generation for Mobile Manipulation
Snehal Jauhri, Sophie C. Lueth, Georgia Chalvatzaki
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Learning Extrinsic Dexterity with Parameterized Manipulation Primitives
Shih-Min Yang, Martin Magnusson, Johannes A. Stork, Todor Stoyanov
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SceneReplica: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
Ninad Khargonkar, Sai Haneesh Allu, Yangxiao Lu, Jishnu Jaykumar P, B Prabhakaran, Yu Xiang
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The Hydra Hand: A Mode-Switching Underactuated Gripper with Precision and Power Grasping Modes
Digby Chappell, Fernando Bello, Petar Kormushev, Nicolas Rojas
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Curriculum-Based Sensing Reduction in Simulation to Real-World Transfer for In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Qiaojie Zheng, Xiaoli Zhang
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Residual-NeRF : Learning Residual NeRFs for Transparent Object Manipulation
Bart Duisterhof, Yuemin Mao, Si Heng Teng, Jeffrey Ichnowski
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Soft and Rigid Object Grasping with Cross-Structure Hand Using Bilateral Control-Based Imitation Learning
Koki Yamane, Yuki Saigusa, Sho Sakaino, Toshiaki Tsuji
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AnyGrasp: Robust and Efficient Grasp Perception in Spatial and Temporal Domains
Hao-Shu Fang, Chenxi Wang, Hongjie Fang, Minghao Gou, Jirong Liu, Hengxu Yan, Wenhai Liu, Yichen Xie, Cewu Lu
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You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects
Lei Zhou, Haozhe Wang, Zhengshen Zhang, Zhiyang Liu, Francis TAY, Marcelo H Ang Jr
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Grasp Manipulation Relationship Detection Based on Graph Sample and Aggregation
Jiayuan Luo, YaXin Liu, Han Wang, Mengyuan Ding, Xuguang Lan
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HybGrasp: A Hybrid Learning-To-Adapt Architecture for Efficient Robot Grasping
Jungwook Mun, Khang Truong Giang, Yunghee Lee, Nayoung Oh, Sejoon Huh, Min Kim, Sungho Jo
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Visual-Tactile Robot Grasping Based on Human Skill Learning from Demonstrations Using a Wearable Parallel Hand Exoskeleton
Zhenyu Lu, Lu Chen, Hengtai Dai, Haoran Li, Zhou Zhao, Bofang Zheng, Nathan Lepora, Chenguang Yang
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One-Shot Learning for Task-Oriented Grasping
Valerija Holomjova, Andrew Starkey, Bruno Yun, Pascal Meißner
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Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
Mahdi Saleh, Michael Sommersperger, Nassir Navab, Federico Tombari
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Grasp It Like a Pro 2.0: A Data-Driven Approach Exploiting Basic Shapes Decomposition and Human Data for Grasping Unknown Objects
Alessandro Palleschi, Franco Angelini, Chiara Gabellieri, Do Won Park, Lucia Pallottino, Antonio Bicchi, Manolo Garabini
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Cycle-Correspondence Loss: Learning Dense View-Invariant Visual Features from Unlabeled and Unordered RGB Images
David Benjamin Adrian, Andras Kupcsik, Markus Spies, Heiko Neumann
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GrainGrasp: Dexterous Grasp Generation with Fine-Grained Contact Guidance
Fuqiang Zhao, Dzmitry Tsetserukou, Qian Liu
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