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1608 result(s) for “Data Sets for Robot Learning” Page 7 of 33
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Simulation Data Driven Design Optimization for Reconfigurable Soft Gripper System
Jun Liu, Jin Huat Low, Qian Qian Han, Marisa Lim, Dingjie Lu, Yangfan Li, Chen-Hua Yeow, ZhuangJian Liu
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Learning Exploration Strategies to Solve Real-World Marble Runs
Alisa Allaire, Christopher Atkeson
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Collaborative Robotic Biopsy with Trajectory Guidance and Needle Tip Force Feedback
Robin Mieling, Maximilian Neidhardt, Sarah Latus, Carolin Stapper, Stefan Gerlach, Inga Kniep, Axel Heinemann, Benjamin Ondruschka, Alexander Schlaefer
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Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform
ShiJie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
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Self-Supervised Learning of Object Segmentation from Unlabeled RGB-D Videos
Shiyang Lu, Yunfu Deng, Abdeslam Boularias, Kostas E. Bekris
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Learning State Conditioned Linear Mappings for Low-Dimensional Control of Robotic Manipulators
Michael Przystupa, Kerrick Johnstonbaugh, Zichen Zhang, Laura Petrich, Masood Dehghan, Faezeh Haghverd, Martin Jagersand
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Neural Optimal Control Using Learned System Dynamics
Kazim Selim Engin, Volkan Isler
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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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Automated Action Evaluation for Robotic Imitation Learning Via Siamese Neural Networks
Xiang Chang, Fei Chao, Changjing Shang, Qiang Shen
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Learning to Predict Action Feasibility for Task and Motion Planning in 3D Environments
Smail Ait Bouhsain, Rachid Alami, Thierry Simeon
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Knowledge Distillation for Feature Extraction in Underwater VSLAM
Jinghe Yang, Mingming Gong, Girish Nair, Jung Hoon Lee, Jason Monty, Ye Pu
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Meta Reinforcement Learning for Optimal Design of Legged Robots
Alvaro Belmonte-Baeza, joonho lee, Giorgio Valsecchi, Marco Hutter
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Robotic Table Wiping Via Reinforcement Learning and Whole-Body Trajectory Optimization
Thomas Lew, Sumeet Singh, Mario Prats, Jeffrey Bingham, Jonathan Weisz, Benjie Holson, Xiaohan Zhang, Vikas Sindhwani, Yao Lu, Fei Xia, Peng Xu, Tingnan Zhang, Jie Tan, Montserrat Gonzalez Arenas
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Learning Food Picking without Food: Fracture Anticipation by Breaking Reusable Fragile Objects
Rinto Yagawa, Reina Ishikawa, Masashi Hamaya, Kazutoshi Tanaka, Atsushi Hashimoto, Hideo Saito
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A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations
Sohan Rudra, Saksham Goel, Anirban Santara, Claudio Gentile, Laurent Perron, Fei Xia, Vikas Sindhwani, Carolina Parada, Gaurav Aggarwal
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Learning on the Job: Self-Rewarding Offline-To-Online Finetuning for Industrial Insertion of Novel Connectors from Vision
Ashvin Nair, Brian Zhu, Gokul narayanan Sathya narayanan, Eugen Solowjow, Sergey Levine
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Computational Methods to Support Prototyping of an Adaptive Robot Joystick Controller for Children with Upper Limb Impairments
Melanie Jouaiti, Negin Azizi, Kerstin Dautenhahn
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Handling Sparse Rewards in Reinforcement Learning Using Model Predictive Control
Murad Elnagdi, Nils Dengler, Jorge de Heuvel, Maren Bennewitz
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Deep Learning on Home Drone: Searching for the Optimal Architecture
Alaa Maalouf, Yotam Gurfinkel, Barak Diker, Oren Gal, Daniela Rus, Dan Feldman
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Bimanual Rope Manipulation Skill Synthesis through Context Dependent Correction Policy Learning from Human Demonstration
Taha Baturhan Akbulut, GÃ1⁄4lsÃ1⁄4m Tuba Çibuk Girgin, Arash Mehrabi, Minoru Asada, Emre Ugur, Erhan Oztop
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Sim-To-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model
Rongshun Juan, Hao Ju, Jie Huang, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Object Detection Using Sim2Real Domain Randomization for Robotic Applications
Horváth, Dániel,Erdos, Gábor,Istenes, Zoltán,Horvath, Tomas,Földi, Sándor
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Balancing Efficiency and Unpredictability in Multi-Robot Patrolling: A MARL-Based Approach
Lingxiao Guo, Haoxuan Pan, Xiaoming Duan, Jianping He
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Implementation and Optimization of Grasping Learning with Dual-Modal Soft Gripper
lei zhao, Haoyue Liu, Feihan Li, X.Y. Ding, Yuhao Sun, Fuchun Sun, Jianhua Shan, Qi Ye, Lincheng Li, Bin Fang
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Experimental Evaluation of a Method for Improving Experiment Design in Robot Identification
Stefanie Antonia Zimmermann, Martin Enqvist, Svante Gunnarsson, Stig Moberg, Mikael Norrlöf
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Scene-level Point Cloud Colorization with Semantics-and-geometry-aware Networks
Rongrong Gao, Tian-Zhu Xiang, Chenyang LEI, Jaesik Park, Qifeng Chen
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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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Learning to Explore Informative Trajectories and Samples for Embodied Perception
Ya Jing, Tao Kong
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TransRSS: Transformer-Based Radar Semantic Segmentation
Hao Zou, Harry Xie, Jiarong Ou, Gao Yutao
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ViewBirdiformer: Learning to Recover Ground-Plane Crowd Trajectories and Ego-Motion from a Single Ego-Centric View
Mai Nishimura, Shohei Nobuhara, Ko Nishino
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Generalizable Movement Intention Recognition with Multiple Heterogeneous EEG Datasets
Xiao Gu, Jinpei Han, Guang-Zhong Yang, Benny Ping Lai Lo
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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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Learning Perception-Aware Agile Flight in Cluttered Environments
Yunlong Song, Kexin Shi, Robert Penicka, Davide Scaramuzza
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Robotic Control Using Model Based Meta Adaption
Karam Daaboul, Joel Ikels, Johann Marius Zöllner
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Policy Guided Lazy Search with Feedback for Task and Motion Planning
Mohamed Khodeir, Atharv Sonwane, Ruthrash Hari, Florian Shkurti
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PCGen: Point Cloud Generator for LiDAR Simulation
Chenqi Li, Yuan Ren, Bingbing Liu
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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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AI-Based Multi-Object Relative State Estimation with Self-Calibration Capabilities
Thomas Jantos, Christian Brommer, Eren Allak, Stephan Weiss, Jan Steinbrener
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Real-Time Event Simulation with Frame-Based Cameras
Andreas Ziegler, Daniel Teigland, Jonas Tebbe, Thomas Gossard, Andreas Zell
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Dynamic Interactive Relation Capturing Via Scene Graph Learning for Robotic Surgical Report Generation
Hongqiu Wang, Yueming Jin, Lei Zhu
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Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard
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Depth Is All You Need for Monocular 3D Detection
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
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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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Anomaly Detection Based Robust Autonomous Navigation
Kefan Jin, Mu Fun, Xingyao Han, Guangming Wang, Zhe Liu
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DifFAR: Differentiable Frequency-Based Disentanglement for Aerial Video Action Recognition
Divya Kothandaraman, Ming C. Lin, Dinesh Manocha
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Reconstructing Objects In-The-Wild for Realistic Sensor Simulation
Ze Yang, Siva Manivasagam, Yun Chen, Jingkang Wang, Rui Hu, Raquel Urtasun
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Viewer-Centred Surface Completion for Unsupervised Domain Adaptation in 3D Object Detection
Darren Tsai, Julie Stephany Berrio Perez, Mao Shan, Eduardo Nebot, Stewart Worrall
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Weighted Maximum Likelihood for Controller Tuning
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
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ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
Hongyu Sun, Yongcai Wang, Xudong Cai, Xuewei Bai, Deying Li
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Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive
Milad Shafiee, Guillaume Bellegarda, Auke Ijspeert
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