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1822 result(s) for “Data Sets for Robot Learning” Page 1 of 37
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Towards Unconstrained Collision Injury Protection Data Sets: Initial Surrogate Experiments for the Human Hand
Robin Jeanne Kirschner, Jinyu Yang, Edonis Elshani, Carina M. Micheler, Tobias Leibbrand, Dirk Müller, Claudio Glowalla, Nader Rajaei, Rainer Burgkart, Sami Haddadin
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Using Graphs of Convex Sets to Guide Nonconvex Trajectory Optimization
David von Wrangel, Russ Tedrake
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A Mixed-Integer Conic Program for the Moving-Target Traveling Salesman Problem Based on a Graph of Convex Sets
Allen George Philip, Zhongqiang Ren, Sivakumar Rathinam, Howie Choset
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SDGE: Stereo Guided Depth Estimation for 360°Camera Sets
Jialei Xu, Wei Yin, Dong Gong, Junjun Jiang, Xianming Liu
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Spatio-Temporal Calibration for Omni-Directional Vehicle-Mounted Event Cameras
Xiao Li, Yi Zhou, Ruibin Guo, Xin Peng, Zongtan Zhou, Huimin Lu
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Continuous Rapid Learning by Human Imitation Using Audio Prompts and One-Shot Learning
Jaime Duque Domingo, Miguel García-GÃ3mez, Eduardo Zalama, Jaime Gomez Garcia Bermejo
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Collision-Free Robot Navigation in Crowded Environments Using Learning Based Convex Model Predictive Control
ZhuangLei Wen, Mingze Dong, xiai chen
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Learning-Based Adaptive Admittance Controller for Efficient and Safe pHRI in Contact-Rich Manufacturing Tasks
Pouya Pourakbarian Niaz, Engin Erzin, Cagatay Basdogan
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Reinforcement Learning of Dolly-In Filming Using a Ground-Based Robot
Philip Lorimer, Jack Saunders, Alan Joseph Hunter, Wenbin Li
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Skill Transfer and Discovery for Sim-To-Real Learning: A Representation-Based Viewpoint
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
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Representing 3D Sparse Map Points and Lines for Camera Relocalization
Bach-Thuan Bui, Huy Hoang Bui, Dinh Tuan Tran, Joo-Ho Lee
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Distributed Coverage Control for Spatial Processes Estimation with Noisy Observations
Mattia Mantovani, Federico Pratissoli, Lorenzo Sabattini
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Incremental Triangle Mesh Generation with Mesh Refinement
Jakub Niedźwiedzki, Piotr Lipinski, Leszek Podsedkowski
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Interactive Reward Tuning: Interactive Visualization for Preference Elicitation
Danqing Shi, Shibei Zhu, Tino Weinkauf, Antti Oulasvirta
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Deformable Objects Perception Is Just a Few Clicks Away � Dense Annotations from Sparse Inputs
Alessio Caporali, Kevin Galassi, Matteo Pantano, Gianluca Palli
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RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform
Maximilian Hilger, Nils Mandischer, Burkhard Corves
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PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration
Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory Chirikjian
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PAAMP: Polytopic Action-Set And Motion Planning for Long Horizon Dynamic Motion Planning via Mixed Integer Linear Programming
Akshay Jaitly, Siavash Farzan
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ASY-VRNet: Waterway Panoptic Driving Perception Model Based on Asymmetric Fair Fusion of Vision and 4D mmWave Radar
Runwei Guan, Shanliang Yao, Ka Lok Man, Xiaohui Zhu, Yong Yue, Jeremy Smith, Eng Gee Lim, Yutao Yue
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Differentiable Collision-Free Parametric Corridors
Jon Arrizabalaga, Zachary Manchester, Markus Ryll
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Task Planning for Long-Horizon Cooking Tasks Based on Large Language Models
Jungkyoo Shin, Jieun Han, Seungjun Kim, Yoonseon Oh, Eunwoo Kim
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Self-Selecting Semi-Supervised Transformer-Attention Convolutional Network for Four Class EEG-Based Motor Imagery Decoding
Han Wei Ng, Cuntai Guan
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DeepBHMR: Learning Bidirectional Hybrid Mixture Models for Generalized Rigid Point Set Registration
Zhe Min, Zhengyan Zhang, Ang Zhang, Rui Song, Yibin Li, Max Q.-H. Meng
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An Optimization-Based Planner with B-Spline Parameterized Continuous-Time Reference Signals
Chuyuan Tao, Sheng Cheng, Yang Zhao, Fanxin Wang, NAIRA HOVAKIMYAN
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QTrack: Embracing Quality Clues for Robust 3D Multi-Object Tracking
Jinrong Yang, En Yu, Zeming Li, Xiaoping Li, Wenbing Tao
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Temporal Attention for Cross-View Sequential Image Localization
Dong Yuan, Frederic Maire, Feras Dayoub
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Vision-Based Topological Localization for MAVs
Simone Felicioni, Biagio Maria Rizzo, Claudio Tortorici, Gabriele Costante
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This Is the Way: Mitigating the Roll of an Autonomous Uncrewed Surface Vessel in Wavy Conditions Using Model Predictive Control
Daniel Jenkins, Joshua A. Marshall
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Neural ODE-Based Imitation Learning (NODE-IL): Data-Efficient Imitation Learning for Long-Horizon Multi-Skill Robot Manipulation
Shiyao Zhao, Yucheng Xu, Mohammadreza Kasaei, Mohsen Khadem, Zhibin (Alex) Li
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Robot Generating Data for Learning Generalizable Visual Robotic Manipulation
Yunfei Li, Ying Yuan, Jingzhi Cui, Haoran Huan, Wei Fu, Jiaxuan Gao, Zekai Xu, Yi Wu
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A Scalable Platform for Robot Learning and Physical Skill Data Collection
Samuel Schneider, Yansong Wu, Fan Wu, Lars Johannsmeier, Sami Haddadin
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DexSkills: Skill Segmentation Using Haptic Data for Learning Autonomous Long-Horizon Robotic Manipulation Tasks
Xiaofeng Mao, Gabriele Giudici, Claudio Coppola, Kaspar Althoefer, Ildar Farkhatdinov, Zhibin (Alex) Li, Lorenzo Jamone
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A Low-Texture Robust Hybrid Feature Based Visual Odometry
He Wang, Qi Zhang, Zhiwen Zheng, Xiaoli Li, Hongye TAN, Ru Li
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Bidirectional Partial-To-Full Non-Rigid Point Set Registration with Non-Overlapping Filtering
Hao Yu, Mingyang Liu, Rui Song, Yibin Li, Max Q.-H. Meng, Zhe Min
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Enhancing Visual Place Recognition via Fast and Slow Adaptive Biasing in Event Cameras
Gokul B Nair, Michael J Milford, Tobias Fischer
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Robot-Enabled Machine Learning-Based Diagnosis of Gastric Cancer Polyps Using Partial Surface Tactile Imaging
Siddhartha Kapuria, Jeff Bonyun, Yash Kulkarni, Naruhiko Ikoma, Sandeep Chinchali, Farshid Alambeigi
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Fast Spatial Reasoning of Implicit 3D Maps through Explicit Near-Far Sampling Range Prediction
Chaerin Min, sehyun Cha, Changhee Won, Jongwoo Lim
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IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning
Ryan Hoque, Ajay Uday Mandlekar, Caelan Garrett, Ken Goldberg, Dieter Fox
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Redefining Data Pairing for Motion Retargeting Leveraging a Human Body Prior
XIYANA VEROSKA FIGUERA MICHAL, Soogeun Park, Hyemin Ahn
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Integrating Online Learning and Connectivity Maintenance for Communication-Aware Multi-Robot Coordination
Yupeng Yang, Yiwei Lyu, Yanze Zhang, Ian Gao, Wenhao Luo
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Data-Efficient Task Generalization via Probabilistic Model-Based Meta Reinforcement Learning
Arjun Bhardwaj, Jonas Rothfuss, Bhavya Sukhija, Yarden As, Marco Hutter, Stelian Coros, Andreas Krause
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JUICER: Data-Efficient Imitation Learning for Robotic Assembly
Lars Ankile, Anthony Simeonov, Idan Shenfeld, Pulkit Agrawal
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SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data
Shan Lin, Albert Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip
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Multi-Modal Representation Learning with Tactile Data
Hyung-gun Chi, Jean Mercat, Jose Barreiros, Karthik Ramani, Thomas Kollar
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Learning to Estimate the Pose of a Peer Robot in a Camera Image by Predicting the States of Its LEDs
Nicholas Carlotti, Mirko Nava, Alessandro Giusti
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A Non-Invasive Device for Skin Cancer Diagnosis: First Clinical Evidence with Spectroscopic Data Enhanced by Machine Learning Algorithms
Vanessa Mainardi, Laura Carletti, Dimitrios Tsiakmakis, Marco Dal Canto, Tommaso Mellilo, Stefano Noferi, Giovanni Bagnoni, Pietro Rubegni, Gastone Ciuti
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Multi-Task Real-Robot Data with Gaze Attention for Dual-Arm Fine Manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
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VoxelContrast: Voxel Contrast-Based Unsupervised Learning for 3D Point Clouds
Yuxiang Qin, HAO SUN
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GeRM: A Generalist Robotic Model with Mixture-Of-Experts for Quadruped Robot
Wenxuan Song, Han Zhao, Pengxiang Ding, Can Cui, Shangke Lyu, YaNing Fan, Donglin Wang
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Learning Temporally Composable Task Segmentations with Language
Divyanshu Raj, Omkar Deepak Patil, Weiwei Gu, Chitta Baral, Nakul Gopalan
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