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1639 result(s) for “Learning Categories and Concepts” Page 1 of 33
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RoboSC: A Domain-Specific Language for Supervisory Controller Synthesis of ROS Applications
Bart Wesselink, Koen de Vos, Ivan Kurtev, Michel Reniers, Elena Torta
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Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
Namasivayam Kalithasan, Himanshu Gaurav Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul
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FSG-Net: A Deep Learning Model for Semantic Robot Grasping through Few-Shot Learning
Leonardo Barcellona, Alberto Bacchin, Alberto Gottardi, Emanuele Menegatti, Stefano Ghidoni
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Multi-Head Attention Machine Learning for Fault Classification in Mixed Autonomous and Human-Driven Vehicle Platoons
Theodore Wu, Satvick Acharya, Abdelrahman Khalil, Ahmed AlJanaideh, Mohammad Al Janaideh, Deepa Kundur
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RLAfford: End-to-End Affordance Learning for Robotic Manipulation
Yiran Geng, boshi an, Haoran Geng, Yuanpei Chen, Yaodong Yang, Hao Dong
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DytanVO: Joint Refinement of Visual Odometry and Motion Segmentation in Dynamic Environments
Shihao Shen, Yilin Cai, Wenshan Wang, Sebastian Scherer
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CMG-Net: An End-To-End Contact-Based Multi-Finger Dexterous Grasping Network
Mingze Wei, Yaomin Huang, Zhiyuan Xu, Ning Liu, Zhengping Che, Xinyu ZHANG, Chaomin Shen, Feifei Feng, Chun Shan, Jian Tang
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Safety and Efficiency in Robotics: The Control Barrier Functions Approach
Federica Ferraguti, Chiara Talignani Landi, Andrew Singletary, Hsien-Chung Lin, Aaron Ames, Cristian Secchi, Marcello Bonfe
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Nezha-Mini: Design and Locomotion of a Miniature Low-Cost Hybrid Aerial Underwater Vehicle
Bi, Yuanbo,Jin, Yufei,Lyu, Chenxin,Zeng, Zheng,LIAN, Lian
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Contextual Multi-Objective Path Planning
Anna Nickelson, Kagan Tumer, William Smart
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NIFT: Neural Interaction Field and Template for Object Manipulation
Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Hao Zhang, Hui Huang, Ruizhen Hu
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HFT: Lifting Perspective Representations Via Hybrid Feature Transformation for BEV Perception
Jiayu Zou, Zheng Zhu, Junjie Huang, Tian Yang, Guan Huang, Xingang Wang
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Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation
Ethan Chun, Yilun Du, Anthony Simeonov, Tomas Lozano-Perez, Leslie Kaelbling
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Information-Theoretic Abstraction of Semantic Octree Models for Integrated Perception and Planning
Daniel Larsson, Arash Asgharivaskasi, Jaein Lim, Nikolay Atanasov, Panagiotis Tsiotras
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Object-Based SLAM Utilizing Unambiguous Pose Parameters Considering General Symmetry Types
Taekbeom Lee, Youngseok Jang, H. Jin Kim
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METEOR: A Dense, Heterogeneous, and Unstructured Traffic Dataset with Rare Behaviors
Rohan Chandra, Xijun Wang, Mridul Mahajan, Rahul Kala, Rishitha Palugulla, Chandrababu Naidu nallagopu, Alok Jain, Dinesh Manocha
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Ditto in the House: Building Articulation Models of Indoor Scenes through Interactive Perception
Cheng-Chun Hsu, Zhenyu Jiang, Yuke Zhu
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RangedIK: An Optimization-based Robot Motion Generation Method for Ranged-Goal Tasks
Yeping Wang, Pragathi Praveena, Daniel Rakita, Michael Gleicher
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In-Mouth Robotic Bite Transfer with Visual and Haptic Sensing
Lorenzo Shaikewitz, Yilin Wu, Suneel Belkhale, Jennifer Grannen, Priya Sundaresan, Dorsa Sadigh
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A Geometrically-Exact Assumed Strain Modes Approach for the Geometrico and Kinemato-Static Modellings of Continuum Parallel Robots
Briot, Sébastien,Boyer, Frédéric
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Neural Contact Fields: Tracking Extrinsic Contact with Tactile Sensing
Carolina Higuera, Siyuan Dong, Byron Boots, Mustafa Mukadam
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GSMR-CNN: An End-to-End Trainable Architecture for Grasping Target Objects from Multi-Object Scenes
Valerija Holomjova, Andrew Joe Starkey, Pascal Meißner
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DexGraspNet: A Large-Scale Robotic Dexterous Grasp Dataset for General Objects Based on Simulation
Ruicheng Wang, Jialiang Zhang, Jiayi Chen, Yinzhen Xu, Puhao Li, Tengyu Liu, He Wang
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Visual Language Maps for Robot Navigation
Chenguang Huang, Oier Mees, Andy Zeng, Wolfram Burgard
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SCORE: A Second-Order Conic Initialization for Range-Aided SLAM
Alan Papalia, Joseph Morales, Kevin Doherty, David Rosen, John Leonard
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DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning
I Made Aswin Nahrendra, Byeongho Yu, Hyun Myung
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Learning Stabilization Control from Observations by Learning Lyapunov-Like Proxy Models
Milan Ganai, Chiaki Hirayama, Ya-Chien Chang, Sicun Gao
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Sample-Efficient Goal-Conditioned Reinforcement Learning Via Predictive Information Bottleneck for Goal Representation Learning
qiming zou, Einoshin Suzuki
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FOGL: Federated Object Grasping Learning
Seok-Kyu Kang, Changhyun Choi
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Learning from Demonstrations Via Multi-Level and Multi-Attention Domain-Adaptive Meta-Learning
Ziye Hu, Zhongxue Gan, Wei Li, Weikun Guo, Xiang Gao, Jiwei Zhu
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Using Learning Curve Predictions to Learn from Incorrect Feedback
Taylor Kessler Faulkner, Andrea Lockerd Thomaz
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Learning Risk-Aware Costmaps Via Inverse Reinforcement Learning for Off-Road Navigation
Samuel Triest, Mateo Guaman Castro, Parv Maheshwari, Matthew Sivaprakasam, Wenshan Wang, Sebastian Scherer
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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback
Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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Safeguarding Learning-Based Planners under Motion and Sensing Uncertainties Using Reachability Analysis
Akshay Shetty, Adam Dai, Alexandros Tzikas, Grace Gao
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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