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1753 result(s) for “Bioinspired Robot Learning” Page 6 of 36
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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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Beyond Domain Randomization: Safety Certificates for Reinforcement Learning AI summary
Paula Stocco, Francesco Micheli, Niklas Schmid, John Lygeros, Efe Balta
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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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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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ViTacGen: Robotic Pushing with Vision-To-Touch Generation AI summary
Zhiyuan Wu, Yijiong Lin, Yongqiang Zhao, Xuyang Zhang, Zhuo Chen, Nathan Lepora, SHAN LUO
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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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FreeTacMan: Robot-Free Visuo-Tactile Data Collection System for Contact-Rich Manipulation AI summary
Longyan Wu, Checheng Yu, Jieji Ren, Li Chen, Yufei Jiang, Ran Huang, Guoying Gu, Hongyang Li
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Neuro-Robot Interaction in Robot-Assisted Surgery using EEG and Self-Supervised Graph Transformer AI summary
Debashis Das Chakladar, Foteini Simistira Liwicki, Rajkumar Saini
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DiSPo: Diffusion-SSM Based Policy Learning for Coarse-To-Fine Action Discretization AI summary
Nayoung Oh, Jaehyeong Jang, Moonkyeong Jung, Daehyung Park
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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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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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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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LeGO-MM: Learning Navigation for Goal-Oriented Mobile Manipulation Via Hierarchical Policy Distillation AI summary
Bolei Chen, Liangbai Liu, Shengsheng Yan, Haonan Yang, Ping Zhong, Jianxin Wang
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DemoBot: Efficient Learning of Bimanual Manipulation with Dexterous Hands from Third-Person Human Videos AI summary
Yucheng Xu, Xiaofeng Mao, Elle Miller, Yang Li, Xinyu Yi, Zhibin (Alex) Li, Robert Fisher
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Learning to Drive by Imitating Surrounding Vehicles AI summary
Yasin Sonmez, Hanna Krasowski, Murat Arcak
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SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning AI summary
Kaushik Roy, Giovanni Salvatore D'urso, Nicholas Lawrance, Brendan Tidd, Peyman Moghadam
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Efficient Learning of Object Placement with Intra-Category Transfer AI summary
Adrian Röfer, Russell Buchanan, Maximilian Argus, Sethu Vijayakumar, Abhinav Valada
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Imitation-BT: Automating Behavior Tree Generation by Echoing Reinforcement Learning Agents AI summary
Shailendra Sekhar Bathula, Ramviyas Parasuraman
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ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving Via Multi-Modal Joint Learning AI summary
Qi Song, Chenghong Li, Haotong Lin, Sida Peng, Rui Huang
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Platform-Agnostic Reinforcement Learning Framework for Safe Exploration of Cluttered Environments with Graph Attention AI summary
Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis, George Nikolakopoulos
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SeFA-Policy: Fast and Accurate Visuomotor Policy Learning with Selective Flow Alignment AI summary
Rong Xue, Jiageng Mao, Mingtong Zhang, Yue Wang
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Unveiling Uncertainty-Aware Autonomous Cooperative Learning Based Planning Strategy AI summary
Shiyao Zhang, Liwei Deng, Shuyu Zhang, Weijie Yuan, Hong Zhang
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ROPA: Synthetic Robot Pose Generation for RGB-D Bimanual Data Augmentation AI summary
Jason Chen, I-Chun Arthur Liu, Gaurav Sukhatme, Daniel Seita
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CAPS: Context-Aware Priority Sampling for Enhanced Imitation Learning in Autonomous Driving AI summary
Hamidreza Mirkhani, Behzad Khamidehi, Ehsan Ahmadi, mohammed elmahgiubi, Weize Zhang, Fazel Arasteh, Umar Rajguru, Kasra Rezaee, Dongfeng Bai
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Learning to Drift with Individual Wheel Drive: Maneuvering Autonomous Vehicle at the Handling Limits AI summary
Yihan Zhou, Yiwen Lu, Bo Yang, Jiayun Li, Yilin Mo
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TransLocNet: Cross-Modal Attention for Aerial-Ground Vehicle Localization with Contrastive Learning AI summary
Phu Pham, Damon Conover, Aniket Bera
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Data-Efficient Hierarchical Goal-Conditioned Reinforcement Learning Via Normalizing Flows AI summary
Shaswat Garg, Matin Moezzi, Brandon Da Silva
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KAN Policy: Learning Efficient and Smooth Robotic Trajectories Via Kolmogorov-Arnold Networks AI summary
Zikang Chen, Fei Gao, Ziya Yu, and Peng Li
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FlightBench: Benchmarking Learning-Based Methods for Ego-Vision-Based Quadrotors Navigation AI summary
Shu'ang Yu, Chao Yu, Feng Gao, Yi Wu, Yu Wang
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The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning AI summary
Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier, Chris Xiaoxuan Lu, Oisin Mac Aodha
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When the Adversary Knows You Better: Adversarial Training for Learning-Based Legged Robots AI summary
Qinchao Xu, Satoshi Yagi, Satoshi Yamamori, Jun Morimoto
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DRO-EDL-MPC: Evidential Deep Learning-Based Distributionally Robust Model Predictive Control for Safe Autonomous Driving AI summary
Hyeongchan Ham, Heejin Ahn
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Progress Constraints for Reinforcement Learning in Behavior Trees AI summary
Finn Rietz, Mart Karta�ev, Petter Ogren, Johannes A. Stork
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Unlocking the Potential of Soft Actor-Critic for Imitation Learning AI summary
Nayari Marie Lessa, Melya Boukheddimi, Frank Kirchner
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Learning from Planned Data to Improve Robotic Pick-And-Place Planning Efficiency AI summary
Liang Qin, Weiwei Wan, Jun Takahashi, Ryo Negishi, Masaki Matsushita, Kensuke Harada
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OCLPlace: Online Continual Learning on LiDAR Streams for Place Recognition AI summary
BinHong Liu, Kaixiao Ye, YangWang Fang, Zhi Yan, Tao Yang
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MTIL: Encoding Full History with Mamba for Temporal Imitation Learning AI summary
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Multi-Dimensional Perturbation Strategies for Adversarial Attacks in Multi-Agent Deep Reinforcement Learning AI summary
Runwen Chen, shuo feng, Tianzhe Qi, yucheng shi, Xiaorong Hu, Yang Zhao, bo sun, Zhao Jin, Yizhe Luo, Mingliang Xu
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MonoDuo: Using One Robot Arm to Learn Bimanual Policies AI summary
Sandeep Bajamahal, Lawrence Yunliang Chen, Toru Lin, Zehan Ma, Jitendra Malik, Ken Goldberg
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Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation Via Dynamic Cluster Agreements AI summary
Antonio Marino, Esteban Restrepo, Claudio Pacchierotti, Paolo Robuffo Giordano
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ETac: A Lightweight and Efficient Tactile Simulation Framework for Learning Dexterous Manipulation AI summary
Zhe Xu, Feiyu Zhao, Xiyan Huang, Chenxi Xiao
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Accelerating Residual Reinforcement Learning with Uncertainty Estimation AI summary
Lakshita Dodeja, Karl Schmeckpeper, Shivam Vats, Thomas Weng, Mingxi Jia, George Konidaris, Stefanie Tellex
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