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2274 result(s) for “Data Sets for Robot Learning” Page 1 of 46
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Approximating Robot Configuration Spaces with Few Convex Sets Using Clique Covers of Visibility Graphs
Peter Werner, Alexandre Amice, Tobia Marcucci, Daniela Rus, Russ Tedrake
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A Novel Algorithmic Approach to Obtaining Maneuverable Control-Invariant Sets
Prashant Solanki, Jasper van Beers, A. Jamshidnejad, Coen de Visser
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Real-Time Capable Decision Making for Autonomous Driving Using Reachable Sets
Niklas Kochdumper, Stanley Bak
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Enhancing Inland Water Safety: The Lake Constance Obstacle Detection Benchmark
Dennis Griesser, Matthias Franz, Georg Umlauf
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UAV-Sim: NeRF-Based Synthetic Data Generation for UAV-Based Perception
Christopher Maxey, jaehoon Choi, Hyungtae Lee, Dinesh Manocha, Heesung Kwon
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Online Data-Driven Safety Certification for Systems Subject to Unknown Disturbances
Nicholas Rober, Karan Mahesh, Tyler Paine, Max Greene, Steven Lee, Sildomar Monteiro, Michael Benjamin, Jonathan How
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A Guided Gaussian-Dirichlet Random Field for Scientist-In-The-Loop Inference in Underwater Robotics
Chad Samuelson, Joshua Mangelson
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A Learning-Based Framework for Safe Human-Robot Collaboration with Multiple Backup Control Barrier Functions
Neil Janwani, Ersin Das, Thomas Touma, Skylar Wei, Tamas G. Molnar, Joel Burdick
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Active Exploration for Real-Time Haptic Training
Jake Ketchum, Ahalya Prabhakar, Todd Murphey
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Efficient Gesture Recognition on Spiking Convolutional Networks through Sensor Fusion of Event-Based and Depth Data
Lea Steffen, Thomas Trapp, Arne Roennau, Rüdiger Dillmann
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn
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JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition
Gabriele Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone
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SynthAct: Towards Generalizable Human Action Recognition Based on Synthetic Data
David Schneider, Marco Keller, Zeyun Zhong, Kunyu Peng, Alina Roitberg, Jürgen Beyerer, Rainer Stiefelhagen
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RIDE: Self-Supervised Learning of Rotation-Equivariant Keypoint Detection and Invariant Description for Endoscopy
Mert Asim Karaoglu, Viktoria Markova, Nassir Navab, Benjamin Busam, Alexander Ladikos
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GraspGPT: Leveraging Semantic Knowledge from a Large Language Model for Task-Oriented Grasping
Chao Tang, Dehao Huang, Wenqi Ge, Weiyu Liu, Hong Zhang
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Motion Planning As Online Learning: A Multi-Armed Bandit Approach to Kinodynamic Sampling-Based Planning
Marco Faroni, Dmitry Berenson
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Learning Interaction Constraints for Robot Manipulation Via Set Correspondences
Junyu Nan, Jessica Hodgins, Brian Okorn
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LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation
Shuo Cheng, Danfei Xu
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Standardization of Cloth Objects and its Relevance in Robotic Manipulation
Irene Garcia-Camacho, Alberta Longhini, Michael C. Welle, Guillem Alenyà , Danica Kragic, JÃolia Borrà s Sol
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Dynablox: Real-Time Detection of Diverse Dynamic Objects in Complex Environments
Lukas M. Schmid, Olov Andersson, Aurelio Sulser, Patrick Pfreundschuh, Roland Siegwart
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Conformal Decision Theory: Safe Autonomous Decisions from Imperfect Predictions
Jordan Lekeufack Sopze, Anastasios Angelopoulos, Andrea Bajcsy, Michael I. Jordan, Jitendra Malik
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Receding-Constraint Model Predictive Control Using a Learned Approximate Control-Invariant Set
Gianni Lunardi, Asia La Rocca, Matteo Saveriano, Andrea Del Prete
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Learning Heterogeneous Multi-Agent Allocations for Ergodic Search
Ananya Rao, Guillaume Adrien Sartoretti, Howie Choset
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Synthesizing Robust Walking Gaits Via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion
Maegan Tucker, Kejun Li, Aaron Ames
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Multimodal Multi-User Surface Recognition with the Kernel Two-Sample Test
Behnam Khojasteh, Friedrich Solowjow, Sebastian Trimpe, Katherine J. Kuchenbecker
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Lightweight Human-Friendly Robotic Arm Based on Transparent Hydrostatic Transmissions
Marco Bolignari, Gianluca Rizzello, Luca Zaccarian, Marco Fontana
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Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Ruoyu Wang, Yanfei Xue, Bharath Surianarayanan, Dong Tian, Chen Feng
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Estimating Material Properties of Interacting Objects Using Sum-GP-UCB
Muhammet Yunus Seker, Oliver Kroemer
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Risk-Aware Control for Robots with Non-Gaussian Belief Spaces
Matti Vahs, Jana Tumova
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S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical Representations
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer, Javier Civera, Holger Voos
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Towards Robo-Coach: Robot Interactive Stiffness/Position Adaptation for Human Strength and Conditioning Training
Chenzui Li, Xi Wu, Tao Teng, Sylvain Calinon, Fei Chen
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Vision-Based Autonomous Steering of a Miniature Eversion Growing Robot
Zicong Wu, S.M.Hadi Sadati, Kawal Rhode, Christos Bergeles
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Dual-Mode Human-Robot Collaboration with Guaranteed Safety Using Time-Varying Zeroing Control Barrier Functions and Quadratic Program
Kaige Shi, Guoqiang Hu
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Human-Centered Autonomy for UAS Target Search
Hunter Ray, Zakariya Laouar, Zachary Sunberg, Nisar Ahmed
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Automatic Trust Estimation from Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Matthias Rehm, IOANNIS PONTIKIS, Kasper Hald
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Occluded Part-Aware Graph Convolutional Networks for Skeleton-Based Action Recognition
Min Hyuk Kim, Min Ju Kim, Seok Bong Yoo
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AdaptAUG: Adaptive Data Augmentation Framework for Multi-Agent Reinforcement Learning
Xin Yu, Yongkai Tian, Li Wang, Pu Feng, Wenjun Wu, Rongye Shi
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VACNA: Visibility-Aware Cooperative Navigation with Application in Inventory Management
Houman Masnavi, Jatan Shrestha, Karl Kruusamäe, Arun Kumar Singh
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Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera
Ryota Takamido, Jun Ota
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Effort Level Search in Infinite Completion Trees with Application to Task-And-Motion Planning
Marc Toussaint, Joaquim Ortiz-Haro, Valentin Hartmann, Erez Karpas, Wolfgang Hoenig
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Lightweight Event-Based Optical Flow Estimation Via Iterative Deblurring
Yilun Wu, Federico Paredes-Valles, Guido de Croon
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NaviFormer: A Data-Driven Robot Navigation Approach Via Sequence Modeling and Path Planning with Safety Verification
Xuyang Zhang, Ziyang Feng, Quecheng Qiu, Yu'an Chen, Bei Hua, Jianmin Ji
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Robotic Offline RL from Internet Videos Via Value-Function Learning
Chethan Bhateja, Derek Guo, Dibya Ghosh, Anikait Singh, Manan Tomar, Quan Vuong, Yevgen Chebotar, Sergey Levine, Aviral Kumar
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Hamiltonian Dynamics Learning from Point Cloud Observations for Nonholonomic Mobile Robot Control
Abdullah Altawaitan, Jason Stanley, Sambaran Ghosal, Thai Duong, Nikolay Atanasov
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
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SynH2R: Synthesizing Hand-Object Motions for Learning Human-To-Robot Handovers
Sammy Christen, Lan Feng, Wei Yang, Yu-Wei Chao, Otmar Hilliges, Jie Song
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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A Power-Aware Control Strategy for an Elbow Effort-Compensation Device
Emir Mobedi, Sebastian Hjorth, Wansoo Kim, Elena De Momi, Nikos Tsagarakis, Arash Ajoudani
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