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2329 result(s) for “Perception for Grasping and Manipulation” Page 2 of 47
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RAMP: A Benchmark for Evaluating Robotic Assembly Manipulation and Planning
Jack Collins, Mark Robson, Jun Yamada, Mohan Sridharan, Karol Janik, Ingmar Posner
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A Collision-Aware Cable Grasping Method in Cluttered Environment
Lei Zhang, Kaixin Bai, Qiang Li, Zhaopeng Chen, Jianwei Zhang
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MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception
Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov
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Domain Randomization for Sim2real Transfer of Automatically Generated Grasping Datasets
Johann Huber, François Hélénon, Hippolyte Christian Sébastien Watrelot, Faiz BEN AMAR, Stéphane Doncieux
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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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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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Towards Feasible Dynamic Grasping: Leveraging Gaussian Process Distance Field, SE(3) Equivariance, and Riemannian Mixture Models
Ho Jin Choi, Nadia Figueroa
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Design and Modeling of a Nested Bi-Cavity-Based Soft Growing Robot for Grasping in Constrained Environments
Haochen Yong, fukang xu, chenfei li, Han Ding, Zhigang Wu
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PROGrasp: Pragmatic Human-Robot Communication for Object Grasping
Gi-Cheon Kang, Junghyun Kim, Jaein Kim, Byoung-Tak Zhang
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Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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A Surprisingly Efficient Representation for Multi-Finger Grasping
Hengxu Yan, Hao-Shu Fang, Cewu Lu
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GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
Kshitij Goel, Wennie Tabib
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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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Development of a Versatile Robotic Hand Toward Jig-Less Assembly of a Shaft-Shaped Part
Kohei Shibata, Hiroki Dobashi
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GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, Hong Zhang
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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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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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Scaling Object-Centric Robotic Manipulation with Multimodal Object Identification
Chaitanya Mitash, Mostafa Hussein, Jeroen Vanbaar, Vikedo Terhuja, Kapil Katyal
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One-Shot Learning for Task-Oriented Grasping
Valerija Holomjova, Andrew Starkey, Bruno Yun, Pascal Meißner
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Unknown Object Grasping for Assistive Robotics
Elle Miller, Maximilian Durner, Matthias Humt, Gabriel Quere, Wout Boerdijk, Ashok M. Sundaram, Freek Stulp, Jörn Vogel
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VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive Sampling
Pedro Piacenza, Jiacheng Yuan, Jinwook Huh, Volkan Isler
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ICGNet: A Unified Approach for Instance-Centric Grasping
René Zurbrügg, Yifan Liu, Francis Engelmann, Suryansh Kumar, Marco Hutter, Vaishakh Patil, Fisher Yu
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Optimal Design of a Highly Self-Adaptive Gripper with Multi-Phalange Compliant Fingers for Grasping Irregularly Shaped Objects
Chih-Hsing Liu, Sy-Yeu Yang, Yi-Chieh Shih
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Bionic Soft Fingers with Hybrid Variable Stiffness Mechanisms for Multimode Grasping
xiangbo wang, Tianran Zhang, Hongze Yu, Zhenwei Wen, Lide Fang, Huaping Liu, Fuchun Sun, Tang Lixue, Bin Fang
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Statistical Stratification and Benchmarking of Robotic Grasping Performance
Brice Denoun, Miles Hansard, Beatriz Leon, Lorenzo Jamone
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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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Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing
Fan Zhang, Yiannis Demiris
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Perching and Grasping Using a Passive Dynamic Bioinspired Gripper
Amir Firouzeh, Jongeun Lee, Hyunsoo Yang, Dongjun Lee, Kyu-Jin Cho
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Stereo Image-Based Visual Servoing towards Feature-Based Grasping
Albert Enyedy, Ashay Aswale, Berk Calli, Michael Gennert
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RGBManip: Monocular Image-Based Robotic Manipulation through Active Object Pose Estimation
Boshi An, Yiran Geng, Kai Chen, Xiaoqi Li, Qi Dou, Hao Dong
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Grasp Anything: Combining Teacher-Augmented Policy Gradient Learning with Instance Segmentation to Grasp Arbitrary Objects
Malte Mosbach, Sven Behnke
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Language-Guided Active Sensing of Confined, Cluttered Environments Via Object Rearrangement Planning
Weihan Chen, Hanwen Ren, Ahmed H. Qureshi
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EasyHeC: Accurate and Automatic Hand-Eye Calibration Via Differentiable Rendering and Space Exploration
Linghao Chen, Yuzhe Qin, Xiaowei Zhou, Hao Su
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Log Loading Automation for Timber-Harvesting Industry
Elie Ayoub, Heshan Fernando, William Larrivée-Hardy, Nicolas Lemieux, Philippe Giguère, Inna Sharf
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Visual Feedback Control of an Underactuated Hand for Grasping Brittle and Soft Foods
Ryogo Kai, Yuzuka Isobe, Sarthak Pathak, Kazunori Umeda
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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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Attention-Based Cloth Manipulation from Model-Free Topological Representation
Kevin Galassi, Bingbing WU, JULIEN PEREZ, Gianluca Palli, Jean-Michel RENDERS
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Prosthetic Upper-Limb Sensory Enhancement (PULSE): A Dual Haptic Feedback Device in a Prosthetic Socket
Alessia Silvia Ivani, Federica Barontini, Manuel Giuseppe Catalano, Giorgio Grioli, Matteo Bianchi, Antonio Bicchi
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ViTacTip: Design and Verification of a Novel Biomimetic Physical Vision-Tactile Fusion Sensor
WEN FAN, Haoran Li, WEIYONG SI, SHAN LUO, Nathan Lepora, Dandan Zhang
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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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TactileAR: Active Tactile Pattern Reconstruction
Bing Wu, Qian Liu
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RH20T: A Comprehensive Robotic Dataset for Learning Diverse Skills in One-Shot
Hao-Shu Fang, Hongjie Fang, Zhenyu Tang, Jirong Liu, Chenxi Wang, Junbo Wang, Haoyi Zhu, Cewu Lu
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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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WAVE: An Open-Source underWater Arm-Vehicle Emulator
Marcus Rosette, Hannah Kolano, Chris Holm, Geoffrey Hollinger, Aaron Marburg, Madison Pickett, Joseph Davidson
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Tactile Embeddings for Multi-Task Learning
Yiyue Luo, Murphy Wonsick, Jessica Hodgins, Brian Okorn
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Kinematic Synergy Primitives for Human-Like Grasp Motion Generation
Julia Starke, Tamim Asfour
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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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Unknown Object Retrieval in Confined Space through Reinforcement Learning with Tactile Exploration
Xinyuan Zhao, Wenyu Liang, Xiaoshi Zhang, Chee Meng Chew, Yan Wu
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Amortized Inference for Efficient Grasp Model Adaptation
Michael Noseworthy, Seiji Shaw, Chad C. Kessens, Nicholas Roy
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