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814 result(s) for “Deep Learning Methods” Page 4 of 17
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Dual-Robot Collaborative System for Autonomous Venous Access Based on Ultrasound and Bioimpedance Sensing Technology
Maria Koskinopoulou, Alperen Acemoglu, Veronica Penza, Leonardo Mattos
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Data-Driven Loop Closure Detection in Bathymetric Point Clouds for Underwater SLAM
Jiarui Tan, Ignacio Torroba Balmori, Yiping Xie, John Folkesson
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Towards Bridging the Space Domain Gap for Satellite Pose Estimation Using Event Sensing
Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin
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Wild-Places: A Large-Scale Dataset for Lidar Place Recognition in Unstructured Natural Environments
Joshua Barton Knights, Kavisha Vidanapathirana, Milad Ramezani, Sridha Sridharan, Clinton Fookes, Peyman Moghadam
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Object-Aware Monocular Depth Prediction with Instance Convolutions
Enis Simsar, Evin Pinar Örnek, Fabian Manhardt, Helisa Dhamo, Nassir Navab, Federico Tombari
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3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision
Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
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Sim-To-Real Transfer for Quadrupedal Locomotion Via Terrain Transformer
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, ZHENG TIAN, Yong Yu, Jun Wang
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Force/Torque Sensing for Soft Grippers Using an External Camera
Jeremy Collins, Patrick Grady, Charles C. Kemp
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CIOT: Constraint-Enhanced Inertial-Odometric Tracking for Articulated Dump Trucks in GNSS-Denied Mining Environments
David Benz, Jonathan Thomas Weseloh, Dirk Abel, Heike Vallery
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Winding Through: Crowd Navigation Via Topological Invariance
Christoforos Mavrogiannis, Krishnan Balasubramanian, Sriyash Poddar, Anush Gandra, Siddhartha Srinivasa
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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Sim-To-Real: Learning Energy-Efficient Slithering Gaits for a Snake-Like Robot
Zhenshan Bing, Long Cheng, Kai Huang, Alois Knoll
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Online Augmentation of Learned Grasp Sequence Policies for More Adaptable and Data-Efficient In-Hand Manipulation
Ethan Kroll Gordon, Rana Soltani Zarrin
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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DQN-Based On-Line Path Planning Method for Automatic Navigation of Miniature Robots
Jialin JIANG, Lidong Yang, Li Zhang
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On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics
Gianmarco Roggiolani, Federico Magistri, Tiziano Guadagnino, Jan Weyler, Giorgio Grisetti, Cyrill Stachniss, Jens Behley
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Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
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Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Shuli Lv, Yan Gao, jiaxing Che, Quan Quan
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Enforcing the Consensus between Trajectory Optimization and Policy Learning for Precise Robot Control
Quentin Le Lidec, Wilson Jallet, Ivan Laptev, Cordelia Schmid, Justin Carpentier
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A Little Bit Attention Is All You Need for Person Re-Identification
Markus Eisenbach, Jannik Lübberstedt, Dustin Aganian, Horst-Michael Gross
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DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality
Ankur Handa, Arthur Allshire, Viktor Makoviichuk, Aleksei Petrenko, Ritvik Singh, Jingzhou Liu, Denys Makoviichuk, Karl Van Wyk, Zhurkevich Alexander, Balakumar Sundaralingam, Yashraj Narang, Jean-Francois Lafleche, Dieter Fox, Gavriel State
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MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng
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A Miniaturised Camera-Based Multi-Modal Tactile Sensor
Kaspar Althoefer, Yonggen Ling, Wanlin Li, Xinyuan Qian, Wang Wei Lee, Peng Qi
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Adaptive-SpikeNet: Event-Based Optical Flow Estimation Using Spiking Neural Networks with Learnable Neuronal Dynamics
Adarsh Kumar Kosta, Kaushik Roy
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Domain Generalised Fully Convolutional One Stage Detection
Karthik Seemakurthy, Petra Bosilj, Erchan Aptoula, Charles Fox
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Throwing Objects into a Moving Basket While Avoiding Obstacles
Hamidreza Kasaei, Mohammadreza Kasaei
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Online Tool Selection with Learned Grasp Prediction Models
Rohanimanesh Khashayar, Jacob Metzger, William Richards, Aviv Tamar
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Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
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Train Offline, Test Online: A Real Robot Learning Benchmark
Gaoyue Zhou, Victoria Dean, Mohan Kumar Srirama, Aravind Rajeswaran, Jyothish Pari, Kyle Beltran Hatch, Aryan Jain, Tianhe Yu, Pieter Abbeel, Lerrel Pinto, Chelsea Finn, Abhinav Gupta
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Online Update of Safety Assurances Using Confidence-Based Predictions
Kensuke Nakamura, Somil Bansal
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Self-Improving Safety Performance of Reinforcement Learning Based Driving with Black-Box Verification Algorithms
Resul Dagdanov, Halil Durmuş, Nazim Kemal Ure
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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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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D2CoPlan: A Differentiable Decentralized Planner for Multi-Robot Coverage
Vishnu Sharma, Lifeng Zhou, Pratap Tokekar
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Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps
Sudeep Dasari, Abhinav Gupta, Vikash Kumar
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Learning to View: Decision Transformers for Active Object Detection
Wenhao Ding, Majcherczyk Nathalie, Mohit Deshpande, Xuewei Qi, Ding Zhao, Rajasimman Madhivanan, Arnab Sen
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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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Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
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EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Stable Neural Adaptive Filters for Teleoperations with Uncertain Delays
Parham Kebria, Abbas Khosravi, Saeid Nahavandi
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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A Continuous Off-Policy Reinforcement Learning Scheme for Optimal Motion Planning in Simply-Connected Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
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NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving
Alexander Popov, Patrik Gebhardt, Ke Chen, Ryan Oldja, Hee Seok Lee, Shane, Michael Murray, ruchi bhargava, Nikolai Smolyanskiy
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