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2327 result(s) for “Deep Learning in Robotics and Automation” Page 1 of 47
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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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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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Safe Networked Robotics with Probabilistic Verification
Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep Chinchali
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Learning to Play Foosball: System and Baselines
Janosch Moos, Cedric Derstroff, Niklas Schröder, Debora Clever
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Realistic Data Generation for 6D Pose Estimation of Surgical Instruments
Juan Antonio Barragan, Jintan Zhang, Haoying Zhou, Adnan Munawar, Peter Kazanzides
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Multi-Objective Cross-Task Learning Via Goal-Conditioned GPT-Based Decision Transformers for Surgical Robot Task Automation
Jiawei Fu, Yonghao Long, Kai Chen, Wang Wei, Qi Dou
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Pedestrian Trajectory Prediction Using Dynamics-Based Deep Learning
Honghui Wang, Weiming Zhi, Gustavo Batista, Rohitash Chandra
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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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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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Surgical Gym: A High-Performance GPU-Based Platform for Reinforcement Learning with Surgical Robots
Samuel Schmidgall, Axel Krieger, Jason Eshraghian
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Safe Deep Policy Adaptation
Wenli Xiao, Tairan He, John M. Dolan, Guanya Shi
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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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Automation and Artificial Intelligence Technology in Surface Mining: State of the Art, Challenges and Opportunities
Raymond Leung, Andrew John Hill, Arman Melkumyan
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Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Sergey Levine, Chelsea Finn, Ken Goldberg, Lawrence Yunliang Chen, Gaurav Sukhatme, Shivin Dass, Lerrel Pinto, Yuke Zhu, Yifeng Zhu, Shuran Song, Oier Mees, Deepak Pathak, Hao-Shu Fang, Henrik Iskov Christensen, Mingyu Ding, Youngwoon Lee, Dorsa Sadigh, Ilija Radosavovic, Jeannette Bohg, Xiaolong Wang, Xuanlin Li, Krishan Rana, Kento Kawaharazuka, Tatsuya Matsushima, Jihoon Oh, Takayuki Osa, Oliver Kroemer, Beomjoon Kim, Edward Johns, Freek Stulp, Jan Schneider, Jiajun Wu, Yunzhu Li, Heni Ben Amor, Lionel Ott, Roberto Martín-Martín, Karol Hausman, Quan Vuong, Pannag Sanketi, Nicolas Heess, Vincent Vanhoucke, Karl Pertsch, Stefan Schaal, Cheng Chi, Chuer Pan, Alex Bewley
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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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Kinematic Optimization of a Robotic Arm for Automation Tasks with Human Demonstration
Inbar Meir, Avital Bechar, Avishai Sintov
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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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Log Loading Automation for Timber-Harvesting Industry
Elie Ayoub, Heshan Fernando, William Larrivée-Hardy, Nicolas Lemieux, Philippe Giguère, Inna Sharf
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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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Enhancing Tactile Sensing in Robotics: Dual-Modal Force and Shape Perception with EIT-Based Sensors and MM-CNN
Haofeng Chen, Xuanxuan Yang, gang ma, Yucheng Wang, Xiaojie Wang
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Deep Model Predictive Optimization
Jacob Sacks, Rwik Rana, Kevin Huang, Alexander Spitzer, Guanya Shi, Byron Boots
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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon, kangwon kim, JUNYOUNG LEE, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim
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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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GAN-Based Semi-Supervised Training of LSTM Nets for Intention Recognition in Cooperative Tasks
Matija Mavsar, Jun Morimoto, Ales Ude
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FogROS2-Config: A Toolkit for Choosing Server Configurations for Cloud Robotics
Kaiyuan Chen, Kush Hari, Rohil Khare, Charlotte Le, Trinity Chung, Jaimyn Drake, Jeffrey Ichnowski, John Kubiatowicz, Ken Goldberg
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Accurate Kinematic Modeling Using Autoencoders on Differentiable Joints
Nikolas Jakob Wilhelm, Sami Haddadin, Rainer Burgkart, Patrick van der Smagt, Maximilian Karl
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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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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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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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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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Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
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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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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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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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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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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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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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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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Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan, Dong Tian, Chen Feng
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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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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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MEDL-U: Uncertainty-Aware 3D Automatic Annotation Based on Evidential Deep Learning
Helbert Paat, Qing Lian, Weilong Yao, Tong Zhang
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