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ICRA 2024

2337 papers · 0 AI summaries · 2024

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2326 result(s) for “Deep Learning in Grasping and Manipulation” Page 2 of 47
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Adaptive Fingers Coordination for Robust Grasp and In-Hand Manipulation under Disturbances and Unknown Dynamics
Farshad Khadivar, Aude Billard
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Self-Supervised 6-DoF Robot Grasping by Demonstration Via Augmented Reality Teleoperation System
Xiwen Dengxiong, Xueting Wang, Shi Bai, Yunbo Zhang
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RISeg: Robot Interactive Object Segmentation Via Body Frame-Invariant Features
Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang
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StereoTac: A Novel Visuotactile Sensor That Combines Tactile Sensing with 3D Vision
Etienne Roberge, Guillaume Fornes, Jean-Philippe Roberge
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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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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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The New Dexterity Modular, Dexterous, Anthropomorphic, Open-Source, Bimanual Manipulation Platform: Combining Adaptive and Hybrid Actuation Systems with Lockable Joints
Che-Ming Chang, Felipe Padula Sanches, Geng Gao, Minas Liarokapis
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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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Jacquard V2: Refining Datasets Using the Human in the Loop Data Correction Method
Qiuhao Li, Shenghai Yuan
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Robust and Energy-Efficient Control for Multi-Task Aerial Manipulation with Automatic Arm-Switching
Ying Wu, Zida Zhou, Mingxin Wei, Hui Cheng
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HASHI: Highly Adaptable Seafood Handling Instrument for Manipulation in Industrial Settings
Austin Allison, Nathaniel Hanson, Sebastian Wicke, Taskin Padir
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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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The Cluttered Environment Picking Benchmark (CEPB) for Advanced Warehouse Automation
Salvatore D'Avella, Matteo Bianchi, Ashok M. Sundaram, Carlo Alberto Avizzano, Maximo A. Roa, Paolo Tripicchio
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
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The Grasp Loop Signature: A Topological Representation for Manipulation Planning with Ropes and Cables
Peter Mitrano, Dmitry Berenson
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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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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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A Deep Learning Framework for Non-Symmetrical Coulomb Friction Identification of Robotic Manipulators
Marcel Lahoud, Gabriele Marchello, Mariapaola D'Imperio, Andreas Mueller, Ferdinando Cannella
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Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
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Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints
Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe
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How to Prompt Your Robot: A Prompt Book for Manipulation Skills with Code As Policies
Montserrat Gonzalez Arenas, Ted Xiao, Sumeet Singh, Vidhi Jain, Allen Z. Ren, Quan Vuong, Jacob Varley, Alexander Herzog, Isabel Leal, Sean Kirmani, Mario Prats, Dorsa Sadigh, Vikas Sindhwani, Kanishka Rao, Jacky Liang, Andy Zeng
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Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan, Quang-Cuong Pham
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The GEM-C Controller for Load Compensation in Object Manipulation
Emmanouil Papadakis, Markos Sigalas, Michail Vangos, Panos Trahanias
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Enhanced Human-Robot Collaboration with Intent Prediction Using Deep Inverse Reinforcement Learning
Mukund Mitra, Gyanig Kumar, Partha Pratim Chakrabarti, PRADIPTA Biswas
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From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar
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Measuring Ball Joint Faults in Parabolic-Trough Solar Plants with Data Augmentation and Deep Learning
Miguel Angel Pérez Cutiño, Jesus Capitan, José-Miguel Díaz-Báñez, Juan Valverde
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When to Replan? an Adaptive Replanning Strategy for Autonomous Navigation Using Deep Reinforcement Learning
Kohei Honda, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno
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Collision Avoidance and Navigation for a Quadrotor Swarm Using End-To-End Deep Reinforcement Learning
Zhehui Huang, Zhaojing Yang, Rahul Krupani, Baskın Şenbaşlar, Sumeet Batra, Gaurav Sukhatme
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EMG-Based Intention Detection Using Deep Learning for Shared Control in Upper-Limb Assistive Exoskeletons
Paniz Sedighi, Xingyu Li, Mahdi Tavakoli
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Model Optimization in Deep Learning Based Robot Control for Autonomous Driving
Sergio Paniego, Nikhil Paliwal, José M. Cañas
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Deep Learning Based Acoustic Measurement Approach for Robotic Applications on Orthopedics
Bangyu Lan, Momen Abayazid, Nico Verdonschot, Stefano Stramigioli, Kenan Niu
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MEDL-U: Uncertainty-Aware 3D Automatic Annotation Based on Evidential Deep Learning
Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
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All the Feels: A Dexterous Hand with Large-Area Tactile Sensing
Raunaq Mahesh Bhirangi, Abigail DeFranco, Jacob Adkins, Carmel Majidi, Abhinav Gupta, Tess Hellebrekers, Vikash Kumar
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Visual-Tactile Fusion for Transparent Object Grasping in Complex Backgrounds
Shoujie Li, Haixin Yu, Wenbo Ding, Houde Liu, Linqi Ye, Chongkun XIA, xueqian WANG, Xiao-Ping Zhang
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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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Multimodal Detection and Classification of Robot Manipulation Failures
Arda Inceoglu, Eren Erdal Aksoy, Sanem Sariel
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ForceSight: Text-Guided Mobile Manipulation with Visual-Force Goals
Jeremy Collins, Cody Houff, You Liang Tan, Charles C. Kemp
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6-DOF Grasp Pose Evaluation and Optimization Via Transfer Learning from NeRFs
Gergely Sóti, Xi Huang, Christian Wurll, Björn Hein
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PathRL: An End-To-End Path Generation Method for Collision Avoidance Via Deep Reinforcement Learning
Wenhao Yu, Jie Peng, Quecheng Qiu, Hanyu Wang, Lu Zhang, Jianmin Ji
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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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Deep Compliant Control for Legged Robots
Adrian Hartmann, Dongho Kang, Fatemeh Zargarbashi, Miguel Angel Zamora Mora, Stelian Coros
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Learning Realistic and Reasonable Grasps for Anthropomorphic Hand in Cluttered Scenes
Haonan Duan, Yiming Li, Daheng Li, Wei Wei, Yayu Huang, Peng Wang
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A Surprisingly Efficient Representation for Multi-Finger Grasping
Hengxu Yan, Hao-Shu Fang, Cewu Lu
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DRO: Deep Recurrent Optimizer for Video to Depth
Xiaodong Gu, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Chengzhou Tang, Zilong Dong, Ping Tan
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The Fractal Hand-II: Reviving a Classic Mechanism for Contemporary Grasping Challenges
Malcolm Tisdale, Joel Burdick
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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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