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1642 result(s) for “Learning and Adaptive Systems” Page 5 of 33
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Online Tool Selection with Learned Grasp Prediction Models
Rohanimanesh Khashayar, Jacob Metzger, William Richards, Aviv Tamar
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A Reachability-Based Spatio-Temporal Sampling Strategy for Kinodynamic Motion Planning
Yongxing Tang, Zhanxia Zhu, Hongwen Zhang
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IC-GVINS: A Robust, Real-Time, INS-Centric GNSS-Visual-Inertial Navigation System
Xiaoji Niu, Hailiang Tang, Tisheng Zhang, Jing Fan, Liu Jingnan
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LiDAR-based Indoor Localization with Optimal Particle Filters using Surface Normal Constraints
Heruka Andradi, Sebastian Blumenthal, Erwin Prassler, Paul G. Plöger
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Burst Stimulation for Enhanced Locomotion Control of Terrestrial Cyborg Insects
HUU DUOC NGUYEN, Hirotaka Sato, T. Thang Vo-Doan
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QuadMag: A Mobile-Coil System with Enhanced Magnetic Actuation Efficiency and Dexterity
Lidong Yang, Moqiu Zhang, Zhengxin Yang, Haojin Yang, Li Zhang
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Overcoming Bias: Equivariant Filter Design for Biased Attitude Estimation with Online Calibration
Alessandro Fornasier, Yonhon Ng, Christian Brommer, Christoph Böhm, Robert Mahony, Stephan Weiss
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On the Impact of Interruptions During Multi-Robot Supervision Tasks
Abhinav Dahiya, Yifan Cai, Oliver Schneider, Stephen L. Smith
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Annotating Covert Hazardous Driving Scenarios Online: Utilizing the Driver's Electroencephalography (EEG) Signals
Chen Zheng, Muxiao Zi, wenjie jiang, Mengdi Chu, Yan Zhang, Jirui Yuan, Guyue Zhou, Jiangtao Gong
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Passive Inverted Ultra-Short Baseline Positioning for a Disc-Shaped Autonomous Underwater Vehicle: Design and Field Experiments
Wang, Yingqiang,Hu, Ruoyu,Huang, S. H.,Wang, Zhikun,Du, Peizhou,Yang, Wencheng,Chen, Ying
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CIOT: Constraint-Enhanced Inertial-Odometric Tracking for Articulated Dump Trucks in GNSS-Denied Mining Environments
David Benz, Jonathan Thomas Weseloh, Dirk Abel, Heike Vallery
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Bidirectional Sampling-Based Motion Planning without Two-Point Boundary Value Solution
Sharan Nayak, Michael W. Otte
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Computational Modeling in System with Non-Circular Timing Pulleys
Renzo Caballero, Angelica Coronado Preciado, Eric Feron
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COVINS-G: A Generic Back-End for Collaborative Visual-Inertial SLAM
Manthan Patel, Marco Karrer, Philipp Bänninger, Margarita Chli
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Probabilistic Rare-Event Verification for Temporal Logic Robot Tasks
Guy Scher, Sadra Sadraddini, Hadas Kress-Gazit
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A Sampling-Based Motion Assignment Strategy with Multi-Performance Optimization for Macro-Micro Robotic System
Zhou, Yaohua,Chen, Chin-Yin,Yang, Guilin,Li, Yaonan
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P-satI-D Shape Regulation of Soft Robots
Pietro Pustina, Pablo Borja, Cosimo Della Santina, Alessandro De Luca
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Passivity-Based Decentralized Control for Collaborative Grasping of Under-Actuated Aerial Manipulators
Jinyeong Jeong, Min Jun Kim
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A Curvature and Trajectory Optimization-Based 3D Surface Reconstruction Pipeline for Ultrasound Trajectory Generation
Ananya Bal, Ashutosh Gupta, FNU Abhimanyu, John Galeotti, Howie Choset
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Manipulation Planning Using Wave Variables
Pitakwatchara, Phongsaen,Arunrat, Jetnipit
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Assistive Robotic Technologies for Next-Generation Smart Wheelchairs
Fabio Morbidi, Louise Devigne, Catalin Stefan Teodorescu, Bastien Fraudet, Emilie Leblong, Tom Carlson, Marie Babel, Guillaume Caron, Sarah Delmas, François Pasteau, Guillaume VAILLAND, Valérie Gouranton, Sylvain Guegan, Ronan Le Breton, Nicolas Ragot
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Safety under Uncertainty: Tight Bounds with Risk-Aware Control Barrier Functions
Mitchell Black, Georgios Fainekos, Bardh Hoxha, Danil Prokhorov, Dimitra Panagou
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A Task Allocation Framework for Human Multi-Robot Collaborative Settings
Martina Lippi, Paolo Di Lillo, Alessandro Marino
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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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A Probabilistic Framework for Visual Localization in Ambiguous Scenes
Fereidoon Zangeneh, Leonard Bruns, Amit Dekel, Alessandro Pieropan, Patric Jensfelt
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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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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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Efficient Planar Pose Estimation Via UWB Measurements
Haodong JIANG, Wentao Wang, yuan shen, Xinghan Li, Xiaoqiang Ren, Biqiang Mu, Junfeng Wu
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Modular and Parallelizable Multibody Physics Simulation Via Subsystem-Based ADMM
Jeongmin Lee, Minji Lee, Dongjun Lee
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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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Distributional Instance Segmentation: Modeling Uncertainty and High Confidence Predictions with Latent-MaskRCNN
YuXuan Liu, Nikhil Mishra, Pieter Abbeel, Xi Chen
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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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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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Flow-Based Rendezvous and Docking for Marine Modular Robots in Gyre-Like Environments
Gedaliah Knizhnik, Peihan Li, Mark Yim, M. Ani Hsieh
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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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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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