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1649 result(s) for “Deep Learning in Grasping and Manipulation” Page 1 of 33
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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Deep Learning Reactive Robotic Grasping with a Versatile Vacuum Gripper
Zhang, Hui,Peeters, Jef,Demeester, Eric,Kellens, Karel
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Reinforcement Learning Based Pushing and Grasping Objects from Ungraspable Poses
Hao Zhang, Hongzhuo Liang, Lin Cong, Jianzhi Lyu, Long Zeng, Pingfa Feng, Jianwei Zhang
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Implementation and Optimization of Grasping Learning with Dual-Modal Soft Gripper
lei zhao, Haoyue Liu, Feihan Li, X.Y. Ding, Yuhao Sun, Fuchun Sun, Jianhua Shan, Qi Ye, Lincheng Li, Bin Fang
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GraspAda: Deep Grasp Adaptation through Domain Transfer
Yiting Chen, Junnan Jiang, Ruiqi Lei, Yasemin Bekiroglu, Fei Chen, Miao Li
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On Human Grasping and Manipulation in Kitchens: Automated Annotation, Insights, and Metrics for Effective Data Collection
Nathan Elangovan, Ricardo de Godoy, Felipe Padula Sanches, Ke Wang, Tom White, Patrick Jarvis, Minas Liarokapis
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CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration
Abhinav Keshari, Hanwen Ren, Ahmed H. Qureshi
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Differential Dynamic Programming Based Hybrid Manipulation Strategy for Dynamic Grasping
Cheng Zhou, Yanbo Long, Lei Shi, Longfei Zhao, Yu Zheng
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The New Dexterity Adaptive Humanlike Robot Hand: Employing a Reconfigurable Palm for Robust Grasping and Dexterous Manipulation
Geng Gao, Anany Dwivedi, Minas Liarokapis
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Force/Torque Sensing for Soft Grippers Using an External Camera
Jeremy Collins, Patrick Grady, Charles C. Kemp
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SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Bipasha Sen, Aditya Agarwal, Gaurav Singh, Brojeshwar Bhowmick, Srinath Sridhar, Madhava Krishna
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Automatic Cell Rotation Method Based on Deep Reinforcement Learning
Huiying Gong, Yujie Zhang, Yaowei Liu, Qili Zhao, Xin Zhao, Mingzhu Sun
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SDF-Based Graph Convolutional Q-Networks for Rearrangement of Multiple Objects
Hogun Kee, Minjae Kang, Dohyeong Kim, JaeGoo Choy, Songhwai Oh
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Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation
Xingyu Zhu, Xin Wang, Jonathan Freer, Hyung Jin Chang, Yixing Gao
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Real-Time Generative Grasping with Spatio-Temporal Sparse Convolution
Tim Player, Dongsik Chang, Fuxin Li, Geoffrey Hollinger
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MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng
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Towards Robust Autonomous Grasping with Reflexes Using High-Bandwidth Sensing and Actuation
Andrew SaLoutos, Hongmin Kim, Elijah Stanger-Jones, Menglong Guo, Sangbae Kim
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Learning Category-Level Manipulation Tasks from Point Clouds with Dynamic Graph CNNs
Junchi Liang, Abdeslam Boularias
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Dextrous Tactile In-Hand Manipulation Using a Modular Reinforcement Learning Architecture
Johannes Pitz, Lennart Röstel, Leon Sievers, Berthold Bäuml
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Linear Delta Arrays for Compliant Dexterous Distributed Manipulation
Sarvesh Patil, Long Tao, Tess Hellebrekers, Zeynep Temel, Oliver Kroemer
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Sparse-Dense Motion Modelling and Tracking for Manipulation without Prior Object Models
Christian Rauch, Ran Long, Vladimir Ivan, Sethu Vijayakumar
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Foot Gestures to Control the Grasping of a Surgical Robot
YIJUN CHENG, yanpei huang, Ziwei Wang, etienne burdet
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Tactile-Driven Gentle Grasping for Human-Robot Collaborative Tasks
Christopher Ford, Haoran Li, John Lloyd, Manuel Giuseppe Catalano, Matteo Bianchi, Efi Psomopoulou, Nathan Lepora
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Instance-Wise Grasp Synthesis for Robotic Grasping
Yucheng Xu, Mohammadreza Kasaei, Hamidreza Kasaei, Zhibin Li
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Efficient Learning of High Level Plans from Play
NÃoria Armengol Urpí, Marco Bagatella, Otmar Hilliges, Georg Martius, Stelian Coros
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MonoGraspNet: 6-DoF Grasping with a Single RGB Image
Guangyao Zhai, Dianye Huang, Shun-Cheng Wu, HyunJun Jung, Yan Di, Fabian Manhardt, Federico Tombari, Nassir Navab, Benjamin Busam
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Practical Visual Deep Imitation Learning Via Task-Level Domain Consistency
Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Sim-And-Real Reinforcement Learning for Manipulation: A Consensus-Based Approach
Wenxing Liu, Hanlin Niu, Wei Pan, Guido Herrmann, Joaquin Carrasco
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RBO Hand 3 - A Platform for Soft Dexterous Manipulation
Steffen Puhlmann, Jason Harris, Oliver Brock
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Multifingered Grasping Based on Multimodal Reinforcement Learning
Hongzhuo Liang, Lin Cong, Norman Hendrich, Shuang Li, Fuchun Sun, Jianwei Zhang
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Structured Motion Generation with Predictive Learning: Proposing Subgoal for Long-Horizon Manipulation
Namiko Saito, Joao Moura, Tetsuya Ogata, Marina Y. Aoyama, Shingo Murata, Shigeki Sugano, Sethu Vijayakumar
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TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
Hongjie Fang, Hao-Shu Fang, Sheng Xu, Cewu Lu
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A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-Based In-Hand Manipulation
Lingfeng Tao, Jiucai Zhang, Michael Bowman, Xiaoli Zhang
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Learning Pre-Grasp Manipulation of Flat Objects in Cluttered Environments Using Sliding Primitives
Jiaxi Wu, haoran Wu, Shanlin Zhong, Qu Qin Sun, Yinlin Li
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Peg-In-Hole Assembly with Dual-Arm Robot and Dexterous Robot Hands
Dong-Hyuk Lee, Myoung-Su Choi, Hyeonjun Park, Ga-Ram Jang, Jae-Han Park, Ji-Hun Bae
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In-Hand Manipulation in Power Grasp: Design of an Adaptive Robot Hand with Active Surfaces
Yilin Cai, Shenli Yuan
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Real-Time Constrained 6D Object-Pose Tracking of An In-Hand Suture Needle for Minimally Invasive Robotic Surgery
Zih-Yun Chiu, Florian Richter, Michael C. Yip
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Few-Shot Instance Grasping of Novel Objects in Clutter
Weikun Guo, Wei Li, Ziye Hu, Zhongxue Gan
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A Stiffness-Changeable Soft Finger Based on Chain Mail Jamming
Zhengtao Hu, Abdullah Ahmed, Weiwei Wan, Tetsuyou Watanabe, Kensuke Harada
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Learning-Based Fabric Folding and Box Wrapping
Xiaoman Wang, Jie Zhao, Xin Jiang, Yunhui Liu
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CMG-Net: An End-To-End Contact-Based Multi-Finger Dexterous Grasping Network
Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu ZHANG, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang
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Atomic-Level Tracking and Analyzing of Quantum-Dot Motion Steered by an Electrostatic Field Positioned by a Nanorobotic Manipulation Tip
Zhi QU, Zhang WENQI, Lixin Dong
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SE(3)-DiffusionFields: Learning Smooth Cost Functions for Joint Grasp and Motion Optimization through Diffusion
Julen Urain De Jesus, Niklas Wilhelm Funk, Jan Peters, Georgia Chalvatzaki
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An Architecture for Reactive Mobile Manipulation On-The-Move
Ben Burgess-Limerick, Christopher Lehnert, Jurgen Leitner, Peter Corke
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USEEK: Unsupervised SE(3)-Equivariant 3D Keypoints for Generalizable Manipulation
Zhengrong Xue, Zhecheng Yuan, Jiashun Wang, xueqian WANG, Yang Gao, Huazhe Xu
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Online Augmentation of Learned Grasp Sequence Policies for More Adaptable and Data-Efficient In-Hand Manipulation
Ethan Kroll Gordon, Rana Soltani Zarrin
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Soft Sensing Skins for Arbitrary Objects: An Automatic Framework
Sonja Groß, Diego Xavier Hidalgo Carvajal, Silija Breimann, Nicolai Stein, Amartya Ganguly, Abdeldjallil Naceri, Sami Haddadin
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DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviichuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Zhurkevich Alexander, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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