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501 result(s) for “Reinforcement Learning” Page 4 of 11
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Throwing Objects into a Moving Basket While Avoiding Obstacles
Hamidreza Kasaei, Mohammadreza Kasaei
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M-EMBER: Tackling Long-Horizon Mobile Manipulation Via Factorized Domain Transfer
Bohan Wu, Roberto Martín-Martín, Li Fei-Fei
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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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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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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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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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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
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Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
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Dynamical System-Based Imitation Learning for Visual Servoing Using the Large Projection Formulation
Antonio Paolillo, Paolo Robuffo Giordano, Matteo Saveriano
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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Generating Stable and Collision-Free Policies through Lyapunov Function Learning
Coulombe Alexandre, Hsiu-Chin Lin
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Learning to Walk by Steering: Perceptive Quadrupedal Locomotion in Dynamic Environments
Mingyo Seo, Ryan Gupta, Yifeng Zhu, Alexy Skoutnev, Luis Sentis, Yuke Zhu
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Efficient Learning of Locomotion Skills through the Discovery of Diverse Environmental Trajectory Generator Priors
Shikha Surana, Bryan Wei Tern Lim, Antoine Cully
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Learning Decoupled Multi-touch Force Estimation, Localization and Stretch for Soft Capacitive E-skin
Abu Bakar Dawood, Claudio Coppola, Kaspar Althoefer
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SHAIL: Safety-Aware Hierarchical Adversarial Imitation Learning for Autonomous Driving in Urban Environments
Arec Jamgochian, Etienne Buehrle, Johannes Fischer, Mykel Kochenderfer
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Model Learning with Backlash Compensation for a Tendon-Driven Surgical Robot
Francesco Cursi, Weibang Bai, Eric Yeatman, Petar Kormushev
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Expanding the Deployment Envelope of Behavior Prediction Via Adaptive Meta-Learning
Boris Ivanovic, James Harrison, Marco Pavone
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SEER: Safe Efficient Exploration for Aerial Robots Using Learning to Predict Information Gain
Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera Ojeda, Alex Zhou, Dinesh Thakur, Vijay Kumar
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DeepRING: Learning Roto-Translation Invariant Representation for LiDAR Based Place Recognition
Sha Lu, Xuecheng Xu, Li Tang, Rong Xiong, Yue Wang
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LEMURS: Learning Distributed Multi-Robot Interactions
Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagues
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Joint Semi-Supervised and Active Learning Via 3D Consistency for 3D Object Detection
Sihwan Hwang, Sanmin Kim, YoungSeok Kim, Dongsuk Kum
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Learning and Blending Robot Hugging Behaviors in Time and Space
Drolet Michael, Joseph Campbell, Heni Ben Amor
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Start State Selection for Control Policy Learning from Optimal Trajectories
Christoph Zelch, Jan Peters, Oskar von Stryk
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Self-Supervised Point Cloud Understanding Via Mask Transformer and Contrastive Learning
DI WANG, Zhi-Xin Yang
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Experimental Validation of Functional Iterative Learning Control on a One-Link Flexible Arm
Sjoerd Drost, Pietro Pustina, Franco Angelini, Alessandro De Luca, Gerwin Smit, Cosimo Della Santina
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Multi-Modal Learning and Relaxation of Physical Conflict for an Exoskeleton Robot with Proprioceptive Perception
Xuan Zhang, Yana Shu, Yu Chen, Gong Chen, jing ye, Xiang LI
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Autonomous Drone Racing: Time-Optimal Spatial Iterative Learning Control within a Virtual Tube
Shuli Lv, Yan Gao, jiaxing Che, Quan Quan
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Immersive Demonstrations Are the Key to Imitation Learning
Kelin Li, Digby Chappell, Nicolas Rojas
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Efficient Recovery Learning using Model Predictive Meta-Reasoning
Shivam Vats, Maxim Likhachev, Oliver Kroemer
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Extraneousness-Aware Imitation Learning
Ray Chen Zheng, Kaizhe Hu, Zhecheng Yuan, Boyuan Chen, Huazhe Xu
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Learning-Based Uncertainty-Aware Navigation in 3D Off-Road Terrains
Hojin Lee, Junsung Kwon, Cheolhyeon Kwon
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Learning Depth Completion of Transparent Objects Using Augmented Unpaired Data
Floris Marc Arden Erich, Bruno Leme, Noriaki Ando, Ryo Hanai, Yukiyasu Domae
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Distributionally Robust Optimization with Unscented Transform for Learning-Based Motion Control in Dynamic Environments
Astghik Hakobyan, Insoon Yang
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Fusing Event-Based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning
Ali Safa, Tim Verbelen, Ilja Ocket, André Bourdoux, Hichem Sahli, Francky Catthoor, Georges Gielen
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Slice Transformer and Self-Supervised Learning for 6DoF Localization in 3D Point Cloud Maps
Muhammad Ibrahim, Naveed Akhtar, Saeed Anwar, michael wise, Ajmal Mian
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Augmented Reality-Assisted Robot Learning Framework for Minimally Invasive Surgery Task
Junling Fu, Maria Chiara Palumbo, Elisa Iovene, Qingsheng liu, Ilaria Burzo, Alberto Redaelli, Giancarlo Ferrigno, Elena De Momi
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Learning Deep Neural Network Controller for Path Following of Unicycle Robots
Priyabrata Saha, Luis Guerrero-Bonilla, Magnus Egerstedt, Saibal Mukhopadhyay
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Enhanced GPIS Learning Based on Local and Global Focus Areas
Zuka Murvanidze, Marc Peter Deisenroth, Yasemin Bekiroglu
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Learning Exploration Strategies to Solve Real-World Marble Runs
Alisa Allaire, Christopher Atkeson
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Meta-Learning-Based Optimal Control for Soft Robotic Manipulators to Interact with Unknown Environments
Zhiqiang Tang, Peiyi Wang, Wenci Xin, Zhexin Xie, longxin kan, Muralidharan Mohanakrishnan, Cecilia Laschi
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GIDP: Learning a Good Initialization and Inducing Descriptor Post-Enhancing for Large-Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Jun He, Hongyan Liu
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Deep Predictive Model Learning with Parametric Bias: Handling Modeling Difficulties and Temporal Model Changes
Kento Kawaharazuka, Kei Okada, Masayuki Inaba
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Off-policy Imitation Learning from Visual Inputs
Zhihao Cheng, Li Shen, Dacheng TAO
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