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1854 result(s) for “Deep Learning in Robotics and Automation” Page 1 of 38
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Hybrid Stereo Dense Depth Estimation for Robotics Tasks in Industrial Automation
Suhani Singh, Michael Suppa, Raul Suarez, Jan Rosell
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Bird's-Eye-View Trajectory Planning of Multiple Robots using Continuous Deep Reinforcement Learning and Model Predictive Control
Kristian Ceder, Ze Zhang, Adam Burman, Ilya Kuangaliyev, Krister Mattsson, Gabriel Nyman, Arvid Petersén, Lukas Wisell, Knut Akesson
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An End-To-End Deep Reinforcement Learning Based Modular Task Allocation Framework for Autonomous Mobile Systems
Song Ma, Jingqing Ruan, Yali Du, Richard Bucknall, Yuanchang Liu
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Learning Adaptive Controller for Hydraulic Machinery Automation
Fang Nan, Marco Hutter
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Robotic Measurement for Electrical Property of Polymers by Force-Sensing Robot Toward Materials Lab-Automation
Yuki Asano, Kei Okada, Junichiro Shiomi
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Decentralized Multi-Robot Navigation Coupled with Spatial-Temporal RetNet Based on Deep Reinforcement Learning
Lin Chen, Yaonan Wang, Zhiqiang Miao, Mingtao Feng, Yuanzhe Wang, Yang Mo, zhen zhou, Hesheng Wang, Danwei Wang
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A Deep Signed Directional Distance Function for Shape Representation
Ehsan Zobeidi, Nikolay Atanasov
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SURESTEP: An Uncertainty-Aware Trajectory Optimization Framework to Enhance Visual Tool Tracking for Robust Surgical Automation
Nikhil Shinde, Zih-Yun Chiu, Florian Richter, Jason Lim, Yuheng Zhi, Sylvia Herbert, Michael C. Yip
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SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
Sara Casao, Fernando Peña, Alberto Sabater, Rosa CastillÃ3n, Darío Suárez, Eduardo Montijano, Ana Cristina Murillo
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ODD-diLLMma: Driving Automation System ODD Compliance Checking Using LLMs
Carl Hildebrandt, Trey Woodlief, Sebastian Elbaum
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A Low-Cost, High-Speed, and Robust Bin Picking System for Factory Automation Enabled by a Non-Stop, Multi-View, and Active Vision Scheme
Xingdou Fu, Lin Miao, Yasuhiro Ohnishi, Yuki Hasegawa, Masaki Suwa
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Precise Well-Plate Placing Utilizing Contact During Sliding with Tactile-Based Pose Estimation for Laboratory Automation
Sameer Pai, Kuniyuki Takahashi, Shimpei Masuda, Naoki Fukaya, Koki Yamane, Avinash Ummadisingu
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ROS-Lite2: Autonomous-Driving Software Platform for Clustered Many-Core Processor
Yuta Tajima, Shuhei Tsunoda, Takuya Azumi
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Deep Sensor Fusion with Constraint Safety Bounds for High Precision Localization
Sebastian Schmidt, Ludwig Stumpp, Diego Valverde Garrro, Stephan Günnemann
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Roofus: Learning-Based Robotic Moisture Mapping on Flat Rooftops with Ground Penetrating Radar
Kevin Lee, Wei-Heng Lin, Talha Javed, Sruti Madhusudhan, Bilal Sher, Chen Feng
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Rotograb: Combining Biomimetic Hands with Industrial Grippers Using a Rotating Thumb
Arnaud Bersier, Matteo Leonforte, Alessio Vanetta, Sarah Lia Andrea Wotke, Andrea Nappi, Yifan Zhou, Sebastiano Oliani, Alexander M. Kübler, Robert Kevin Katzschmann
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DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Mendez
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Keyframe Selection Via Deep Reinforcement Learning for Skeleton-Based Gesture Recognition
minggang gan, Jinting Liu, Yuxuan He, aobo chen, Qianzhao Ma
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Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Pawel Ladosz, Meraj Mammadov, Heejung Shin, Woojae Shin, Hyondong Oh
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TinyLidarNet: 2D Lidar-Based End-To-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar, QiTao Weng, Bakhbyergyen Yerjan, Ahmet Soyyigit, Heechul Yun
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A Deep Reinforcement Learning Framework and Methodology for Reducing the Sim-to-Real Gap in ASV Navigation
Luis F. W. Batista, Junghwan Ro, Antoine Richard, Pete Schroepfer, Seth Hutchinson, Cedric Pradalier
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Local Path Planning among Pushable Objects Based on Reinforcement Learning
Linghong Yao, Valerio Modugno, Andromachi Maria Delfaki, Yuanchang Liu, Danail Stoyanov, Dimitrios Kanoulas
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Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion
Joonho Lee, Lukas Schroth, Victor Klemm, Marko Bjelonic, Alexander Reske, Marco Hutter
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Sensorimotor Attention and Language-Based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM
Kanata Suzuki, Tetsuya Ogata
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Enhancing Safety Via Deep Reinforcement Learning in Trajectory Planning for Agile Flights within Unknown Environments
Lidia Rocha, Jorge Bidinotto, Fredrik Heintz, Mattias Tiger, Kelen Cristiane Teixeira Vivaldini
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Uncertainty-Aware Deep Imitation Learning and Deployment for Autonomous Navigation through Crowded Intersections
Zeyu Zhu, Shuai Wang, Huijing Zhao
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Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
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Deep Ad-Hoc Sub-Team Partition Learning for Multi-Agent Air Combat Cooperation
Songyuan Fan, Haiyin Piao, Yi Hu, Feng Jiang, Roushu Yang
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Deep Reinforcement Learning-Based Large-Scale Robot Exploration
Yuhong Cao, Rui Zhao, Yizhuo Wang, Bairan Xiang, Guillaume Adrien Sartoretti
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PEERNet: An End-To-End Profiling Tool for Real-Time Networked Robotic Systems
Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali
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Learning When to Stop: Efficient Active Tactile Perception with Deep Reinforcement Learning
Christopher Niemann, David Philip Leins, Luca Lach, Robert Haschke
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Mitigating Adversarial Perturbations for Deep Reinforcement Learning Via Vector Quantization
Tung Luu, Thanh Nguyen, Joshua Tian Jin Tee, Sungwoong Kim, Chang D. Yoo
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Mini-PointNetPlus: A Local Feature Descriptor in Deep Learning Model for Real-Time 3D Environment Perception
Chuanyu Luo, Nuo Cheng, Sikun Ma, Jun Xiang, Xiaohan Li, Shengguang Lei, Pu Li
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Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks
David Patricio Valencia Redrovan, Henry Williams, Yuning Xing, Trevor Gee, Minas Liarokapis, Bruce MacDonald
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Social Navigation in Crowded Environments with Model Predictive Control and Deep Learning-Based Human Trajectory Prediction
Viet-Anh Le, Behdad Chalaki, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Jovin D'sa, Ehsan Moradi-Pari
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Real-Time Coordinated Motion Generation: A Hierarchical Deep Predictive Learning Model for Bimanual Tasks
Genki Shikada, Simon Armleder, Hiroshi Ito, Gordon Cheng, Tetsuya Ogata
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An Attention-Aware Deep Reinforcement Learning Framework for UAV-UGV Collaborative Route Planning
Mohammad Safwan Mondal, Subramanian Ramasamy, James Humann, Jim James, Dotterweich, Jean-Paul Reddinger, Marshal Childers, Pranav Bhounsule
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Binary Amplitude-Only Hologram Design for Acoustic End-Effector Construction by Physics-Based Deep Learning
Qing Liu, hu su, Jiaqi Li, Y.F. Li, zhiyuan ZHANG, Song LIU
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GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression
Iliya Kulbaka, Ayan Dutta, Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy
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Deep Learning-Based Delay Compensation Framework for Teleoperated Wheeled Rovers on Soft Terrains
Ahmad Abubakar, Yahya Zweiri, Mubarak Yakubu, Ruqqayya Alhammadi, Mohammed Mohiuddin, Abdel Gafoor Haddad, Jorge Dias, Lakmal Seneviratne
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Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning
Daniel Flögel, Lars Fischer, Thomas Rudolf, Tobias Schürmann, Sören Hohmann
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Adaptive Stochastic Nonlinear Model Predictive Control with Look-Ahead Deep Reinforcement Learning for Autonomous Vehicle Motion Control
Baha Zarrouki, Chenyang Wang, Johannes Betz
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Temporal- and Viewpoint-Invariant Registration for Under-Canopy Footage using Deep-Learning-based Bird's-Eye View Prediction
Jiawei Zhou, Ruben Mascaro, Cesar Cadena Lerma, Margarita Chli, Lucas Teixeira
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Enhancing Object Grasping Efficiency with Deep Learning and Post-Processing for Multi-Finger Robotic Hands
Pouya Samandi, Kamal Gupta, mehran mehrandezh
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Collaboration Strategies for Two Heterogeneous Pursuers in A Pursuit-Evasion Game Using Deep Reinforcement Learning
Zhanping Zhong, Zhuoning Dong, Xiaoming Duan, Jianping He
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Multi-Agent Deep Reinforcement Learning for Persistent Monitoring with Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, RAJAT AGRAWAL, Jingxi Chen, Pratap Tokekar, Sujit PB
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Satellite-Model-Free Deep Learning Based Pose Estimation of Non-Cooperative Satellite and Tracking Using Navigation Filter
Shubham Shukla, Raunak Srivastava, Rolif Lima, Titas Bera
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Occlusion Handling by Pushing for Enhanced Fruit Detection
Ege Gursoy, Dana Kulic, Andrea Cherubini
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DaFoEs: Mixing Datasets towards the Generalization of Vision-State Deep-Learning Force Estimation in Minimally Invasive Robotic Surgery
Mikel De Iturrate Reyzabal, Mingcong Chen, Wei Huang, Sebastien Ourselin, Hongbin Liu
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SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Shan Lin, Albert Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip
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