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1140 result(s) for “Representation Learning” Page 7 of 23
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Real-Time Generation of Near-Minimum-Energy Trajectories Via Constraint-Informed Residual Learning AI summary
Domenico Dona', Giovanni Franzese, Cosimo Della Santina, Paolo Boscariol, Basilio Lenzo
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MoRe-ERL: Learning Motion Residuals Using Episodic Reinforcement Learning AI summary
Xi Huang, Hongyi Zhou, Ge Li, Yucheng Tang, Weiran Liao, Björn Hein, Tamim Asfour, Rudolf Lioutikov
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Learning-Based Joint Control with Hierarchical Reinforcement Learning and On-Device Execution AI summary
Satoshi Yagi, Jun Morimoto
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Reinforcement Learning for Stair Locomotion of a Wheeled Bipedal Robot with Contact-Guided Behavior Cloning AI summary
Yi Gyeom Kim, Sejik Oh, Hyojin Jo, Dogyun Park, Nam Kyu Kwon
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Learning View-Invariant Sign Language Representations Via Dual-Stream Contrastive Learning AI summary
Yuting Peng, Yuecong Min, Xilin Chen
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COLSON: Controllable Learning-Based Social Navigation Via Diffusion-Based Reinforcement Learning AI summary
Kohei Matsumoto, Yuki Tomita, Yuki Hyodo, Ryo Kurazume
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SurgIRL: Towards Life-Long Learning for Surgical Automation by Incremental Reinforcement Learning AI summary
Yun-Jie Ho, Zih-Yun Chiu, Yuheng Zhi, Michael C. Yip
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ViTaS: Visual Tactile Soft Fusion Contrastive Learning for Visuomotor Learning AI summary
Yufeng Tian, Shuiqi Cheng, Tianming Wei, Tianxing Zhou, Yuanhang Zhang, Zixian Liu, Qianwei Han, Zhecheng Yuan, Huazhe Xu
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Learning Cooperative Strategies for Drone Swarms Using Multi-Agent Reinforcement Learning AI summary
Christian Llanes, Kyle Williams, Spencer Jensen, Samuel Coogan
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Reinforcement Learning Control Outperforms Iterative Learning in Exoskeleton-Assisted Gait Training AI summary
Andy Li, Haoran Li, Aytac Teker, Mariana Hernandez-Rocha, Biruk Gebre, Karen Nolan J., Kishore Pochiraju, Damiano Zanotto
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Learning Humanoid Arm Motion Via Centroidal Momentum Regularized Multi-Agent Reinforcement Learning AI summary
Ho Jae Lee, Se Hwan Jeon, Sangbae Kim
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Data-Efficient Constrained Robot Learning with Probabilistic Lagrangian Control AI summary
Shiming He, Yuzhe Ding
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Learning Neural Control Barrier Functions from Expert Demonstrations Using Inverse Constraint Learning AI summary
Yuxuan Yang, Hussein Sibai
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Enabling Embodied Human-Robot Co-Learning: Requirements, Method, and Test with Handover Task AI summary
Emma M. van Zoelen, Hugo Veldman-Loopik, Karel van den Bosch, Mark Neerincx, David A. Abbink, Luka Peternel
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Learning Behaviours for Decentralised Multi-Robot Collision Avoidance in Constrained Pathways Using Curriculum Reinforcement Learning AI summary
Md Mostafizur Rahman Komol, Brendan Tidd, Will Browne, Frederic Maire, Jason Williams, David Howard
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Using Non-Expert Data to Robustify Imitation Learning Via Offline Reinforcement Learning AI summary
Kevin Huang, Rosario Scalise, Cleah Winston, Ayush Agrawal, Yunchu Zhang, Rohan Baijal, Markus Grotz, Byron Boots, Benjamin Burchfiel, Hongkai Dai, Masha Itkina, Paarth Shah, Abhishek Gupta
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ILCL: Inverse Logic-Constraint Learning from Temporally Constrained Demonstrations AI summary
Minwoo Cho, Jaehwi Jang, Daehyung Park
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Learning Contact Tasks Skills Based on DMP and Affordance Templates AI summary
Hunjo Lee, Gi-Hun Yang
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An Efficient Learning-Based Task Planning Approach Using a Bio-Inspired Action Context-Free Grammar for Bimanual Manipulation AI summary
Carmona David, Jun Yang, Haoyong Yu
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Rapid Robot Manipulation Policy Learning Via Hierarchical Foundation-Model Prior Distillation AI summary
Qingwei Dong, Jiyuan Zhang, Guangxi Wan, ruikai liu, Peng Zeng
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Learning Quadruped Walking from Seconds of Demonstration AI summary
Ruipeng Zhang, Hongzhan Yu, Ya-Chien Chang, Chenghao Li, Henrik I. Christensen, Sicun Gao
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Real-Time Online Learning for Model Predictive Control Using a Spatio-Temporal Gaussian Process Approximation AI summary
Lars Bartels, Amon Lahr, Andrea Carron, Melanie N. Zeilinger
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OWOD-FSL: Open-World Object Detection Via Few-Shot Learning and Dynamic Prototypes AI summary
Zhiwei Li, Zhiyu Zhang, Yang Zhou, Jianping Li, Tianyu Shen, Li Wang, Fengli Lu, Huaping Liu, Kunfeng Wang
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Learn to Teach: Sample-Efficient Privileged Learning for Humanoid Locomotion Over Real-World Uneven Terrain AI summary
Feiyang Wu, Xavier Nal, Jaehwi Jang, Wei Zhu, Zhaoyuan Gu, Anqi Wu, Ye Zhao
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Beyond Domain Randomization: Safety Certificates for Reinforcement Learning AI summary
Paula Stocco, Francesco Micheli, Niklas Schmid, John Lygeros, Efe Balta
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Task-Parameterized Motion Learning with Time-Sensitive Constraints AI summary
Julian Richter, João P. Oliveira, Christian Scheurer, Jochen J. Steil, Niels Dehio
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Phase-Aware Policy Learning for Skateboard Riding of Quadruped Robots Via Feature-Wise Linear Modulation AI summary
Minsung Yoon, Jeil Jeong, Sung-eui Yoon
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Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation AI summary
Lucas Bezerra, Ataide Santos, Shinkyu Park
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Failure-Aware RL: Reliable Offline-To-Online Reinforcement Learning with Self-Recovery for Real-World Manipulation AI summary
improving task performance.
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Toward Human Preference Optimization for Vision-Language-Action Models: A Pilot Study on the Limits of Imitation Learning AI summary
Tae-Won Lee, DongWook Kim
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Instrumentation for Imitation Learning: Enhancing Training Datasets for Clothes Hanger Insertion AI summary
Remko Proesmans, Thomas Lips, Francis wyffels
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SoftMimic: Learning Compliant Whole-body Control from Examples AI summary
Gabriel Margolis, Michelle Wang, Nolan Fey, Pulkit Agrawal
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Deep Reinforcement Learning-Based Motion Planning and PDE Control for Flexible Manipulators AI summary
Amir Hossein Barjini, Seyed Adel Alizadeh Kolagar, Sadeq Yaqubi, Jouni Mattila
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A Modular Residual Learning Framework to Enhance Model-Based Approach for Robust Locomotion AI summary
Min-Gyu Kim, Dongyun Kang, Hajun Kim, Hae-Won Park
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Unsupervised Domain Adaptation for Robust Imitation Learning under Visual Perturbations AI summary
Yasuhiro Kato, Thomas Westfechtel, Jen-Yen Chang, Naoki Morihira, Akinobu Hayashi, Tatsuya Harada, Takayuki Osa
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Learning Problem Decomposition for Efficient Sequential Multi-Object Manipulation Planning (resubmitted) AI summary
Yan Zhang, Teng Xue, Amirreza Razmjoo, Sylvain Calinon
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Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion AI summary
Honglin He, Yukai Ma, Brad Squicciarini, Wayne Wu, Bolei Zhou
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Quasimetric Decision Transformers: Enhancing Goal-Conditioned Reinforcement Learning with Structured Distance Guidance AI summary
MADHAV GOYANI, Heidar Davoudi, Mehran Ebrahimi
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LighterBEV: LiDAR Global Localization Meets Online Learning AI summary
BinHong Liu, Tao Yang, Haoji Cao, Shuqi FU, YangWang Fang, Zhi Yan
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Task Generalization with Pathwise Conditioning of Gaussian Process for Learning from Demonstration AI summary
Adrian Prados, Gonzalo Espinoza, Alberto Mendez, Ramon Barber
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Complexity Reduction of the Three-Point Dubins Problem (3PDP) Via Symmetry Exploitation for Machine Learning Purposes AI summary
Marco Frego, Enrico Saccon, Davide De Martini, Luigi Palopoli
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ALOHA Lightning: Learning Fast and Precise Manipulation AI summary
John Hua Yao, Qi Wu, Yihuai Gao, Chelsea Finn, Zipeng Fu
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Heterogeneous Skill Learning for Asynchronous Multi-Robot Relay Pushing in Complex Environments AI summary
Hui Zhi, David Navarro-Alarcon
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Viper: Verifiable Imitation Learning Policy for Efficient Robotic Manipulation AI summary
Xianfeng Cheng, Qing Gao, Guangyu Chen, Rui Xiong, Junjie Hu, Yulan Guo, Zhaojie Ju
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PIMBS: Efficient Body Schema Learning for Musculoskeletal Humanoids with Physics-Informed Neural Networks AI summary
Kento Kawaharazuka, Takahiro Hattori, Keita Yoneda, Kei Okada
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Two-Time-Scale Composite Learning Online Identification and Control for Compliant-Joint Robots AI summary
Tian Shi, Lin Liu, Qian Wang, Jinya Su, Shihua Li, Yongping Pan
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Learning Conservative Neural Control Barrier Functions from Demonstrations AI summary
Ihab Tabbara, Hussein Sibai
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Leveraging Embodied Mechanical Intelligence for Learning Decluttering Tasks AI summary
Enrico Turco, Valerio Bo, Chiara Castellani, Gionata Salvietti, Monica Malvezzi, Domenico Prattichizzo, Maria Pozzi
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SwarmNav: Swarm Robotics Navigation in Dynamic and Dense Environments Via Reinforcement Learning AI summary
Shengbo Li, Chuanjie Lv, Xiangqian Yuan, Liming Xu, Xinyang Liu, Zongzhi Zhu, Gang Xu, Yong Liu
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Learning-Based Torque Estimation for Harmonic Drive Actuators AI summary
Chun-Hung Huang, Chun Wei Chen, Chao-Chieh Lan
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