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1822 result(s) for “Data Sets for Robot Learning” Page 9 of 37
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On the Modularity of Elementary Dynamic Actions
Moses Nah, Johannes Lachner, Federico Tessari, Neville Hogan
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3D Branch Point Cloud Completion for Robotic Pruning in Apple Orchards
Tian Qiu, Alan Zoubi, Nikolai Spine, Lailiang Cheng, Yu Jiang
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SD-Net: Symmetric-Aware Keypoint Prediction and Domain Adaptation for 6D Pose Estimation in Bin-Picking Scenarios
dingtao huang, Ente Lin, Lipeng Chen, lifu Liu, Long Zeng
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Funnel-Based Reward Shaping for Signal Temporal Logic Tasks in Reinforcement Learning
Naman Saxena, Sandeep Gorantla, Pushpak Jagtap
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Dynamic Model and Experimental Validation of a Haptic Robot based on a Flexible Antenna mounted on an Omnidirectional Platform
Luis Merida-Calvo, Maria Isabel Haro-Olmo, Vicente Feliu
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Progressive Representation Learning for Real-Time UAV Tracking
Changhong Fu, Xiang Lei, Haobo Zuo, Liangliang Yao, Guangze Zheng, Jia Pan
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A Contact Model Based on Denoising Diffusion to Learn Variable Impedance Control for Contact-Rich Manipulation
Masashi Okada, Mayumi Komatsu, Tadahiro Taniguchi
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MFC-EQ: Mean-Field Control with Envelope Q-Learning for Moving Decentralized Agents in Formation
Qiushi Lin, Hang Ma
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Tactile Active Inference Reinforcement Learning for Efficient Robotic Manipulation Skill Acquisition
Zihao Liu, Xing Liu, Zhengxiong Liu, Yizhai Zhang, Panfeng Huang
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MARRGM: Learning Framework for Multi-Agent Reinforcement Learning Via Reinforcement Recommendation and Group Modification
Wu, Peiliang,Tian, Liqiang,Zhang, Qian,Mao, BingYi,Chen, Wenbai
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<i>PEGASUS</i>: Physically Enhanced Gaussian Splatting Simulation System for 6DoF Object Pose Dataset Generation
Lukas Meyer, Floris Marc Arden Erich, Yusuke Yoshiyasu, Marc Stamminger, Noriaki Ando, Yukiyasu Domae
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A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
Ruya Karagulle, Nikos Arechiga, Andrew Best, Jonathan DeCastro, Necmiye Ozay
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Seamless Virtual Reality with Integrated Synchronizer and Synthesizer for Autonomous Driving
He Li, Ruihua Han, Zirui Zhao, Wei Xu, QI HAO, Shuai Wang, Chengzhong Xu
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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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Learning Safe Locomotion for Quadrupedal Robots by Derived-Action Optimization
Deye Zhu, Chengrui Zhu, Zhen Zhang, Shuo Xin, Yong Liu
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3D Active Metric-Semantic SLAM
Yuezhan Tao, Xu Liu, Igor Spasojevic, Saurav Agarwal, Vijay Kumar
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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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A Framework for Neurosymbolic Goal-Conditioned Continual Learning for Open World Environments
Pierrick Lorang, Shivam Goel, Yash Shukla, Patrik Zips, Matthias Scheutz
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Learning Deep Dynamical Systems Using Stable Neural ODEs
Andreas Sochopoulos, Michael Gienger, Sethu Vijayakumar
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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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Multi-Robot Multimodal Deep Sea Surveys for Detailed Estimation of Manganese Crust Distribution
Neettiyath, Umesh,Sugimatsu, Harumi,Koike, Tetsu,Kazunori, Nagano,Ura, Tamaki,Thornton, Blair
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Self-Reconfiguration Strategies for Space-Distributed Spacecraft
Tianle Liu, Zhixiang Wang, Yongwei Zhang, Ziwei Wang, Zihao Liu, Yizhai Zhang, Panfeng Huang
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Text2Reaction : Enabling Reactive Task Planning Using Large Language Models
Zejun Yang, Li Ning, Haitao Wang, Tianyu Jiang, Shaolin Zhang, Shaowei Cui, Hao Jiang, Chunpeng Li, Shuo Wang, Zhaoqi Wang
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Reinforcement Learning for Active Search and Grasp in Clutter
Thomas Pitcher, Julian Förster, Jen Jen Chung
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A Non-Homogeneity Mapless Navigation Based on Hierarchical Safe Reinforcement Learning in Dynamic Complex Environments
Jianmin Qin, Qingchen Liu, Qichao Ma, Zipeng Wu, Jiahu Qin
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Continual Domain Randomization
Josip Josifovski, Sayantan Auddy, Mohammadhossein Malmir, Justus Piater, Alois Knoll, Nicolás Navarro-Guerrero
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Incremental Learning of Robotic Manipulation Tasks through Virtual Reality Demonstrations
Giuseppe Rauso, Riccardo Caccavale, Alberto Finzi
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CASRL: Collision Avoidance with Spiking Reinforcement Learning among Dynamic, Decision-Making Agents
Chengjun Zhang, Ka-Wa Yip, Bo Yang, Zhiyong Zhang, Mengwen Yuan, Rui Yan, Huajin Tang
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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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SculptDiff: Learning Robotic Clay Sculpting from Humans with Goal Conditioned Diffusion Policy
Alison Bartsch, Arvind Car, Charlotte Avra, Amir Barati Farimani
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The Power of the Senses: Generalizable Manipulation from Vision and Touch through Masked Multimodal Learning
Carmelo Sferrazza, Younggyo Seo, Hao Liu, Youngwoon Lee, Pieter Abbeel
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Learning Coordinated Maneuver in Adversarial Environments
Zechen Hu, Manshi Limbu, Daigo Shishika, Xuesu Xiao, Xuan Wang
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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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Cross-Observability Learning for Vehicle Routing Problems
Ruifan Liu, Hyo-Sang Shin, Antonios Tsourdos
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Equivariant Ensembles and Regularization for Reinforcement Learning in Map-Based Path Planning
Mirco Theile, Hongpeng Cao, Marco Caccamo, Alberto Sangiovanni Vincentelli
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OmniDrones: An Efficient and Flexible Platform for Reinforcement Learning in Drone Control
Botian Xu, Feng Gao, Chao Yu, Ruize Zhang, Yi Wu, Yu Wang
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MPGNet: Learning Move-Push-Grasping Synergy for Target-Oriented Grasping in Occluded Scenes
Dayou Li, Chenkun Zhao, Shuo Yang, Ran Song, Xiaolei Li, Wei Zhang
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Steering Decision Transformers Via Temporal Difference Learning
Hao-Lun Hsu, Alper Kamil Bozkurt, Juncheng Dong, Qitong Gao, Vahid Tarokh, Miroslav Pajic
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Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning without Task-Specific Knowledge
Sang-Hyun Lee, Seung-Woo Seo
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Pre-Grasp Approaching on Mobile Robots: A Pre-Active Layered Approach
Lakshadeep Naik, Sinan Kalkan, Norbert Krüger
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Toward Understanding Key Estimation in Learning Robust Humanoid Locomotion
Zhicheng Wang, Wandi Wei, Ruiqi Yu, Jun Wu, Qiuguo Zhu
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Learning Dynamics Models for Velocity Estimation in Autonomous Racing
Jan W&#281;grzynowski, Grzegorz Czechmanowski, Piotr Kicki, Krzysztof, Tadeusz Walas
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Reinforcement Learning with Generalizable Gaussian Splatting
Jiaxu Wang, Qiang Zhang, Jingkai SUN, Jiahang Cao, Gang Han, Wen Zhao, Weining ZHANG, Yecheng Shao, Yijie Guo, Renjing Xu
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Jointly Learning Cost and Constraints from Demonstrations for Safe Trajectory Generation
Shivam Chaubey, Francesco Verdoja, Ville Kyrki
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Terrain-Attentive Learning for Efficient 6-DoF Kinodynamic Modeling on Vertically Challenging Terrain
Aniket Datar, Chenhui Pan, Mohammad Nazeri, Anuj Pokhrel, Xuesu Xiao
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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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SAVOR: Sonar-Aided Visual Odometry and Reconstruction for Autonomous Underwater Vehicles
Jeremy Paul Coffelt, Peter Kampmann, Bilal Wehbe
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PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin-Ray Fingers
Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, VinothKumar Viswanathan, Richard Scalzo, David Howard
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Learning a Shape-Conditioned Agent for Purely Tactile In-Hand Manipulation of Various Objects
Johannes Pitz, Lennart Röstel, Leon Sievers, Darius Burschka, Berthold Bäuml
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Decentralized Communication-Maintained Coordination for Multi-Robot Exploration: Achieving Connectivity and Adaptability
Wei Tang, Chao Li, Jun Wu, Qiuguo Zhu
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