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1177 result(s) for “Deep Learning Methods” Page 1 of 24
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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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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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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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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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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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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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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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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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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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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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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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A New Perspective of DL Testing Framework: Human-Computer Interaction Based Neural Network Testing
Wei Kong, li hu, du qianjin, cao huayang, KUANG XIAOHUI
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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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Sensorless Estimation of Contact Using Deep-Learning for Human-robot Interaction
Shilin Shan, Quang-Cuong Pham
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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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Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks
Cai Mingyu, Karankumar Patel, Soshi Iba, Songpo Li
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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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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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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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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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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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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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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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HAGrasp: Hybrid Action Grasp Control in Cluttered Scenes Using Deep Reinforcement Learning
Kai-Tai Song, Hsiang-Hsi Chen
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LiRaFusion: Deep Adaptive LiDAR-Radar Fusion for 3D Object Detection
Jingyu Song, Lingjun Zhao, Katherine Skinner
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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 to Explore Indoor Environments Using Autonomous Micro Aerial Vehicles
Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen, Amir Avni, Oren Gal, Ariel Barel, Vijay Kumar
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Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
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Prescient Collision-Free Navigation of Mobile Robots with Iterative Multimodal Motion Prediction of Dynamic Obstacles
Ze Zhang, Hadi Hajieghrary, Emmanuel Dean, Knut Akesson
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Vehicle Behavior Prediction by Episodic-Memory Implanted NDT
Peining Shen, Jianwu Fang, Hongkai Yu, Jianru Xue
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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EDMP: Ensemble-Of-Costs-Guided Diffusion for Motion Planning
Kallol Saha, Vishal Reddy Mandadi, JAYARAM GURRAM, Ajit Srikanth, Aditya Agarwal, Bipasha Sen, Arun Kumar Singh, Madhava Krishna
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Increasing the Absolute Position Accuracy of Industrial Robots by Means of a Deep Continual Evidential Regression Model
Eckart Uhlmann, Mitchel Polte, Julian Blumberg, Sheng Yin, Gang Wang
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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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Robot-Dependent Traversability Estimation for Outdoor Environments Using Deep Multimodal Variational Autoencoders
Matthias Eder, Gerald Steinbauer-Wagner
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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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CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration
Adnan Abdullah, Titon Barua, Reagan Tibbetts, Zijie Chen, Md Jahidul Islam, Ioannis Rekleitis
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DVI-SLAM: A Dual Visual Inertial SLAM Network
Xiongfeng Peng, zhihua Liu, Weiming Li, Ping Tan, SoonYong Cho, Qiang Wang
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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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An Efficient Model Based Approach on Learning Agile Motor Skills without Reinforcement
Haojie Shi, Tingguang Li, Qingxu Zhu, Jiapeng Sheng, Lei Han, Max Q.-H. Meng
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Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
Piotr Kicki, Puze Liu, Davide Tateo, Haitham Bou Ammar, Krzysztof, Tadeusz Walas, Piotr Skrzypczynski, Jan Peters
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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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Uncertainty-Aware 3D Object-Level Mapping with Deep Shape Priors
Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven Lake Waslander
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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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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DL-PoseNet: A Differential Lightweight Network for Pose Regression Over SE(3)
Wenjie Li, Jia Liu, Yanyan Wang, Dayong Ren, Wei Hao, Lijun Chen
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