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1822 result(s) for “Data Sets for Robot Learning” Page 10 of 37
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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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Multi-Modal NeRF Self-Supervision for LiDAR Semantic Segmentation
Xavier Timoneda, Markus Herb, Fabian Duerr, Daniel Goehring, Fisher Yu
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Generalizable Stable Points Segmentation for 3D LiDAR Scan-To-Map Long-Term Localization
Ibrahim Hroob, Benedikt Mersch, Cyrill Stachniss, Marc Hanheide
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Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards
Zhaorun Chen,Zhuokai Zhao,Tairan He,BinHao Chen,Xuhao Zhao,Liang Gong,Chengliang Liu
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SwiftBase: A Dataset Based on High-Frequency Visual Measurement for Visual-Inertial Localization in High-Speed Motion Scenes
Zhenghao Zou, Yang Lyu, Chunhui Zhao, XiRui Kao, jiang bo Liu, Haochen Chai
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An Actor-Critic Reinforcement Learning Scheme for Reactive 3D Optimal Motion Planning Based on Fluid Dynamics
Marios Malliaropoulos, Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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Identifying Optimal Launch Sites of High-Altitude Latex-Balloons Using Bayesian Optimisation for the Task of Station-Keeping
Jack Saunders, Sajad Saeedi, Adam Hartshorne, Binbin Xu, ÖzgÃ1⁄4r Şimşek, Alan Joseph Hunter, Wenbin Li
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StereoNavNet: Learning to Navigate Using Stereo Cameras with Auxiliary Occupancy Voxels
Hongyu Li, Taskin Padir, Huaizu Jiang
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Skill Q-Network: Learning Adaptive Skill Ensemble for Mapless Navigation in Unknown Environments
Hyunki Seong, David Hyunchul Shim
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Multi-Modal Motion Prediction Using Temporal Ensembling with Learning-Based Aggregation
Kai-Yin Hong, Chieh-Chih Wang, Wen-Chieh Lin
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REPeat: A Real2Sim2Real Approach for Pre-Acquisition of Soft Food Items in Robot-Assisted Feeding
Nayoung Ha, Ruolin Ye, Ziang Liu, Shubhangi Sinha, Tapomayukh Bhattacharjee
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Enhancing Reinforcement Learning in Sensor Fusion: A Comparative Analysis of Cubature and Sampling-Based Integration Methods for Rover Search Planning
Jan-Hendrik Ewers, Sarah Swinton, Dave Anderson, Euan William McGookin, Douglas Thomson
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Gradient-Based Regularization for Action Smoothness in Robotic Control with Reinforcement Learning
Yi Li, Hoang-Giang Cao, Cong-Tinh Dao, Yu-Cheng Chen, I-Chen Wu
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Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
Lin, Haohong,Ding, Wenhao,Liu, Zuxin,Niu, Yaru,Zhu, Jiacheng,Niu, Yuming,Zhao, Ding
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Imitation Learning for Sim-To-Real Adaptation of Robotic Cutting Policies Based on Residual Gaussian Process Disturbance Force Model
Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin
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A Novel Approach for Precise Tissue Tracking in Breast Lumpectomy
Yeganeh Aliyari, Mehrnoosh Afshar, Ericka Wiebe, Lashan Peiris, Mahdi Tavakoli
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Visual Imitation Learning of Task-Oriented Object Grasping and Rearrangement
Yichen Cai, Jianfeng Gao, Christoph Pohl, Tamim Asfour
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CMR-Agent: Learning a Cross-Modal Agent for Iterative Image-To-Point Cloud Registration
Gongxin Yao, Yixin Xuan, Xinyang Li, Yu Pan
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HeteroLight: A General and Efficient Learning Approach for Heterogeneous Traffic Signal Control
YIFENG ZHANG, Peizhuo LI, Mingfeng Fan, Guillaume Adrien Sartoretti
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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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Fast and Communication-Efficient Multi-UAV Exploration Via Voronoi Partition on Dynamic Topological Graph
Qianli Dong, Haobo Xi, Shiyong Zhang, Qingchen Bi, Tianyi Li, Ziyu Wang, Xuebo Zhang
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Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
Mu Cai, Chenxu Luo, Yong Jae Lee, Xiaodong Yang
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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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Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
Zengqi Peng, Xiao Zhou, Lei Zheng, Yubin Wang, Jun Ma
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When, What, and with Whom to Communicate: Enhancing RL-Based Multi-Robot Navigation through Selective Communication
Senthil Hariharan Arul, Amrit Singh Bedi, Dinesh Manocha
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Learning Multi-Reference Frame Skills from Demonstration with Task-Parameterized Gaussian Processes
Mariano Ramirez Montero, Giovanni Franzese, Jens Kober, Cosimo Della Santina
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Fine Manipulation Using a Tactile Skin: Learning in Simulation and Sim-To-Real Transfer
Berthold Bäuml, Ulf Kasolowsky
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Robust Imitation Learning for Mobile Manipulator Focusing on Task-Related Viewpoints and Regions
Yutaro Ishida, Yuki Noguchi, Takayuki Kanai, Kazuhiro Shintani, Hiroshi Bito
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Car-Studio: Learning Car Radiance Fields from Single-View and Unlimited In-The-Wild Images
Tianyu Liu, Hao Zhao, Yang Yu, Guyue Zhou, Ming Liu
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FNPG-NH: A Reinforcement Learning Framework for Flexible Needle Path Generation with Nonholonomic Constraints
Shah, Mukund,Patel, Niravkumar
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Language-Guided Pattern Formation for Swarm Robotics with Multi-Agent Reinforcement Learning
Hsu-Shen Liu, So Kuroki, Tadashi Kozuno, Wei-Fang Sun, Chun-Yi Lee
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Towards Accurate and Robust Dynamics and Reward Modeling for Model-Based Offline Inverse Reinforcement Learning
Gengyu Zhang, Yan Yan
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RaceMOP: Mapless Online Path Planning for Multi-Agent Autonomous Racing Using Residual Policy Learning
Raphael Trumpp, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada, Marco Caccamo
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Enhancing VIO Robustness under Sudden Lighting Variation: A Learning-Based IMU Dead-Reckoning for UAV Localization
Daolong Yang, Liu Haoyuan, XueYing Jin, Jiawei Chen, Chengcai Wang, Xilun DING, Kun Xu
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Evaluating a Movable Palm in Caging Inspired Grasping Using a Reinforcement Learning-Based Approach
Luke Jonathan Beddow, Helge Arne Wurdemann, Dimitrios Kanoulas
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Torque Ripple Reduction in Quasi-Direct Drive Motors through Angle-Based Repetitive Learning Observer and Model Predictive Torque Controller
Hefei Zhang, Xiaohu Zhang, Jinyu Cheng, Jiangtao Hu, Chao Ji, Yu Wang, Yutong Jiang, Zhen Han, Wei Gao, Shiwu Zhang
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GS-Planner: A Gaussian-Splatting-Based Planning Framework for Active High-Fidelity Reconstruction
Rui Jin, Yuman Gao, Yingjian Wang, Yuze Wu, Haojian Lu, Chao Xu, Fei Gao
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Learning to Simulate Tree-Branch Dynamics for Manipulation
Jayadeep Jacob, Tirthankar Bandyopadhyay, Jason Williams, Paulo Vinicius Koerich Borges, Fabio Ramos
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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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Active Learning-augmented Intention-aware Obstacle Avoidance of Autonomous Surface Vehicles in High-traffic Waters
Mingi Jeong, Arihant Chadda, Alberto Quattrini Li
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I Get the Hang of It! a Learning-Free Method to Predict Hanging Poses for Previously Unseen Objects
Wanze Li, LEXIN PAN, Boren Jiang, Yuwei Wu, Weixiao Liu, Gregory Chirikjian
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Real-Time Spatiotemporal Assistance for Micromanipulation Using Imitation Learning
Ryoya Mori, Tadayoshi Aoyama, Taisuke Kobayashi, Kazuya Sakamoto, Masaru Takeuchi, Yasuhisa Hasegawa
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Semantics from Space: Satellite-Guided Thermal Semantic Segmentation Annotation for Aerial Field Robots
Connor Lee, Saraswati Soedarmadji, Matthew Anderson, Anthony Clark, Soon-Jo Chung
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CenterGrasp: Object-Aware Implicit Representation Learning for Simultaneous Shape Reconstruction and 6-DoF Grasp Estimation
Eugenio Chisari, Nick Heppert, Tim Welschehold, Wolfram Burgard, Abhinav Valada
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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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Geometry-aided Underwater 3D Mapping Using Side-scan Sonar
Yiqiao Yang, Chenglin Pang, Chengdong Wu, Zheng Fang
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Learning a Tracking Controller for Rolling μbots
Logan Beaver, Sokolich Max, Suhail Alsalehi, Ron Weiss, Sambeeta Das, Calin Belta
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DiffusionNOCS: Managing Symmetry and Uncertainty in Sim2Real Multi-Modal Category-Level Pose Estimation
Takuya Ikeda, Sergey Zakharov, Tianyi Ko, Muhammad Zubair Irshad, Robert Lee, Katherine Liu, Rares Ambrus, Koichi Nishiwaki
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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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Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic, Raul Dacian Steleac, Jonathan David Thomas, Georgios Papoudakis, Lukas Schäfer, Andrew To, Kuan-Ho Lao, Murat Cubuktepe, Matthew Haley, Peter Börsting, Stefano V. Albrecht
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