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1649 result(s) for “Deep Learning in Grasping and Manipulation” Page 2 of 33
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Household Clothing Set and Benchmarks for Characterising End-Effector Cloth Manipulation
Angus Benedict Clark, Luke Cramphorn, Michal Rachowiecki, Austin Gregg-Smith
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
David Brandfonbrener, Stephen Tu, Avi Singh, Stefan Welker, Chad Boodoo, Nikolai Matni, Jacob Varley
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Control of Rough Terrain Vehicles Using Deep Reinforcement Learning
Viktor Wiberg, Erik Wallin, Tomas Nordfjell, Martin Servin
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Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA
Yuki Kadokawa, Yoshihisa Tsurumine, Takamitsu Matsubara
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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Learning Agile Flight Maneuvers: Deep SE(3) Motion Planning and Control for Quadrotors
Yixiao Wang, Bingheng Wang, Shenning Zhang, Han Wei Sia, Lin Zhao
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Collision Avoidance among Dense Heterogeneous Agents Using Deep Reinforcement Learning
Kai Zhu, Bin Li, Wen ming Zhe, Tao Zhang
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Adaptive and Explainable Deployment of Navigation Skills Via Hierarchical Deep Reinforcement Learning
Kyowoon Lee, Seongun Kim, Jaesik Choi
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Deep Reinforcement Learning for Decentralized Multi-Robot Exploration with Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, Richard Ren, Goldie Nejat
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Flipbot: Learning Continuous Paper Flipping Via Coarse-To-Fine Exteroceptive-Proprioceptive Exploration
Chao Zhao, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari, Enrico Marchesini, Alessandro Farinelli
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Deep Reinforcement Learning for Autonomous Driving Using High-Level Heterogeneous Graph Representations
Maximilian Schier, Christoph Reinders, Bodo Rosenhahn
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A Deep Learning Human Activity Recognition Framework for Socially Assistive Robots to Support Reablement of Older Adults
Fraser Robinson, Goldie Nejat
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Variable Admittance Interaction Control of UAVs Via Deep Reinforcement Learning
Yuting Feng, Chuanbeibei Shi, Jianrui Du, Yushu Yu, Fuchun Sun, Yixu Song
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Monocular Reactive Collision Avoidance for MAV Teleoperation with Deep Reinforcement Learning
Raffaele Brilli, Marco Legittimo, Francesco Crocetti, Mirko Leomanni, Mario Luca Fravolini, Gabriele Costante
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Deep Learning-Aided Synthetic Airspeed Estimation of UAVs for Analytical Redundancy with a Temporal Convolutional Network
HYUNGTAE LIM, Han-seok Ryu, Matthew Rhudy, Dongjin Lee, Dongjin Jang, Changho LEE, Youngmin Park, Wonkeun Youn, Hyun Myung
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Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning
Nicolai Dorka, Tim Welschehold, Joschka Boedecker, Wolfram Burgard
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AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking
Sourish Ghosh, Jay Patrikar, Brady Moon, Milad Moghassem Hamidi, Sebastian Scherer
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Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, Lianhao Yin, Niklas Hagemann, Yuanyuan Qiao, Carlo Ratti, Daniela Rus
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Bayesian Deep Learning for Affordance Segmentation in Images
LORENZO MUR LABADIA, Ruben Martinez-Cantin, Josechu Guerrero
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Deep Metric Learning for Visual Servoing: When Pose and Image Meet in Latent Space
Samuel Felton, Elisa Fromont, Eric Marchand
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Gyro-Net: IMU Gyroscopes Random Errors Compensation Method Based on Deep Learning
Yunqi Gao, Dianxi Shi, Ruihao Li, Zhe Liu, Wen SUN
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ARiADNE: A Reinforcement Learning Approach Using Attention-Based Deep Networks for Exploration
Yuhong Cao, Tianxiang Hou, Yizhuo Wang, Xian Yi, Guillaume Adrien Sartoretti
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Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning from Photorealistic Simulations
Raul Castilla-Arquillo, Carlos Perez-del-Pulgar, Gonzalo Jesús Paz Delgado, Levin Gerdes
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Multi-Target Pursuit by a Decentralized Heterogeneous UAV Swarm Using Deep Multi-Agent Reinforcement Learning
Maryam Kouzehgar, Youngbin Song, Malika Meghjani, Roland Bouffanais
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DeepSeeColor: Realtime Adaptive Color Correction for Autonomous Underwater Vehicles Via Deep Learning Methods
Stewart Jamieson, Jonathan How, Yogesh Girdhar
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DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, He Wang
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Shape Sensing of Flexible Robots Based on Deep Learning
Xuan Thao Ha, Di Wu, Mouloud OURAK, Gianni Borghesan, Jenny Dankelman, Arianna Menciassi, Emmanuel B Vander Poorten
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RFFCE: Residual Feature Fusion and Confidence Evaluation Network for 6DoF Pose Estimation
Qiwei Meng, shanshan ji, Shiqiang Zhu, Tianlei Jin, Te Li, Jason Gu, Wei Song
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Two-Stage Grasping: A New Bin Picking Framework for Small Objects
Hanwen Cao, Jianshu Zhou, Rui Cao, Yichuan Li, Qi Dou, Yunhui Liu
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Deep Reinforcement Learning Based Personalized Locomotion Planning for Lower-Limb Exoskeletons
Javad K. Mehr, Edward Guo, Mojtaba Akbari, Vivian K. Mushahwar, Mahdi Tavakoli
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Ultra-Low Power Deep Learning-Based Monocular Relative Localization Onboard Nano-Quadrotors
Stefano Bonato, Stefano Carlo Lambertenghi, Elia Cereda, Alessandro Giusti, Daniele Palossi
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Inverted Landing in a Small Aerial Robot Via Deep Reinforcement Learning for Triggering and Control of Rotational Maneuvers
Bryan Habas, Jack W. Langelaan, Bo Cheng
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Passivity-Based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators
Jinyeong Jeong, Min Jun Kim
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Deep Occupancy-Predictive Representations for Autonomous Driving
Eivind Meyer, Lars Frederik Peiss, Matthias Althoff
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GenDexGrasp: Generalizable Dexterous Grasping
Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
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Anticipation and Delayed Estimation of Sagittal Plane Human Hip Moments using Deep Learning and a Robotic Hip Exoskeleton
Dean Molinaro, Ethan Park, Aaron Young
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On the Use of Magnets to Robustify the Motion Control of Soft Hands
Sara Marullo, Gionata Salvietti, Domenico Prattichizzo
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A Multi-DoF Exoskeleton Haptic Device for the Grasping of a Compliant Object Adapting to a User's Motion Using Jamming Transitions
Michikawa, Ryohei,Endo, Takahiro,Matsuno, Fumitoshi
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Deep IMU Bias Inference for Robust Visual-Inertial Odometry with Factor Graphs
Russell Buchanan, Varun Agrawal, Marco Camurri, Frank Dellaert, Maurice Fallon
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Feature Extraction for Effective and Efficient Deep Reinforcement Learning on Real Robotic Platforms
Peter Bohm, Pauline Pounds, Archie Chapman
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Towards Open-World Interactive Disambiguation for Robotic Grasping
Yuchen Mo, Hanbo Zhang, Tao Kong
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The Third Generation (G3) Dual-Modal and Dual Sensing Mechanisms (DMDSM) Pretouch Sensor for Robotic Grasping
Cheng Fang, Shuangliang Li, Di Wang, Fengzhi Guo, Dezhen Song, Jun Zou
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Learning Height for Top-Down Grasps with the DIGIT Sensor
Thais Bernardi, Yoann Fleytoux, Jean-Baptiste Mouret, Serena Ivaldi
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GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes
Valerija Holomjova, Andrew Joe Starkey, Pascal Meißner
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A Joint Modeling of Vision-Language-Action for Target-Oriented Grasping in Clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, Zizhang Li, Huaijin Pi, Yifeng Zhu, Yue Wang, Rong Xiong
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