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1415 result(s) for “Learning from Demonstration” Page 3 of 29
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Active Learning of Discrete-Time Dynamics for Uncertainty-Aware Model Predictive Control
Alessandro Saviolo, Jonathan Frey, Abhishek Rathod, Moritz Diehl, Giuseppe Loianno
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From Unstable Electrode Contacts to Reliable Control: A Deep Learning Approach for HD-sEMG in Neurorobotics
Eion Tyacke, Kunal Gupta, Jay Patel, Raghav Katoch, S. Farokh Atashzar
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HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan, Volkan Isler, Hyun Soo Park
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Learning Contact for Haptic Feedback: Switching X-Lateral Teleoperators
Nural Yilmaz, Ugur Tumerdem
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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Deep Learning Based 6-DoF Antipodal Grasp Planning from Point Cloud in Random Bin-Picking Task Using Single-View
Tat Hieu Bui, Yeong Gwang Son, Seung Jae moon, Quang Huy Nguyen, Issac Rhee, Juyong Hong, Hyouk Ryeol Choi
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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UNRealNet: Learning Uncertainty-Aware Navigation Features from High-Fidelity Scans of Real Environments
Samuel Triest, David D. Fan, Sebastian Scherer, Ali-akbar Agha-mohammadi
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Learning Barrier-Certified Polynomial Dynamical Systems for Obstacle Avoidance with Robots
Martin Schonger, Hugo Tadashi Kussaba, Lingyun Chen, Luis Figueredo, Abdalla Swikir, Aude Billard, Sami Haddadin
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Improving Offline Reinforcement Learning with Inaccurate Simulators
Yiwen Hou, Haoyuan Sun, Jinming Ma, Feng Wu
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Learning to Shape by Grinding: Cutting-Surface-Aware Model-Based Reinforcement Learning
Takumi Hachimine, Jun Morimoto, Takamitsu Matsubara
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Crossway Diffusion: Improving Diffusion-Based Visuomotor Policy Via Self-Supervised Learning
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
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DefGoalNet: Contextual Goal Learning from Demonstrations for Deformable Object Manipulation
Bao Thach, Tanner Watts, Shing-Hei Ho, Tucker Hermans, Alan Kuntz
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BaSAL: Size Balanced Warm Start Active Learning for LiDAR Semantic Segmentation
Jiarong WEI, Yancong Lin, Holger Caesar
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Learning Risk-Aware Quadrupedal Locomotion Using Distributional Reinforcement Learning
Lukas Schneider, Jonas Frey, Takahiro Miki, Marco Hutter
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Inverse Constraint Learning and Generalization by Transferable Reward Decomposition
Jaehwi Jang, Minjae Song, Daehyung Park
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The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold, Wolfram Burgard, Joschka Boedecker, Abhinav Valada
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A Learning-Based Approach for Estimating Inertial Properties of Unknown Objects from Encoder Discrepancies
Zizhou Lao, Yuanfeng Han, Yunshan Ma, Gregory Chirikjian
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Breaking Data Silos: Cross-Domain Learning for Multi-Agent Perception from Independent Private Sources
Jinlong Li, Baolu Li, Xinyu Liu, Runsheng Xu, Jiaqi Ma, Hongkai Yu
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Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation
Annie Xie, Lisa Lee, Ted Xiao, Chelsea Finn
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Safety-Critical Scenario Generation Via Reinforcement Learning Based Editing
Haolan Liu, Liangjun Zhang, Siva Kumar Sastry Hari, Jishen Zhao
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Experience Consistency Distillation Continual Reinforcement Learning for Robotic Manipulation Tasks
Chao Zhao, Jie Xu, Ru Peng, Xingyu Chen, Kuizhi Mei, Xuguang Lan
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Contrastive Initial State Buffer for Reinforcement Learning
Nico Messikommer, Yunlong Song, Davide Scaramuzza
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You Only Label Once: 3D Box Adaptation from Point Cloud to Image with Semi-Supervised Learning
Jieqi Shi, Peiliang LI, Xiaozhi Chen, Shaojie Shen
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Incremental Learning of Full-Pose Via-Point Movement Primitives on Riemannian Manifolds
Tilman Daab, Noémie Jaquier, Christian R. G. Dreher, Andre Meixner, Franziska Krebs, Tamim Asfour
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An Offline Learning of Behavior Correction Policy for Vision-Based Robotic Manipulation
Qingxiuxiong Dong, Toshimitsu Kaneko, Masashi Sugiyama
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A Multifidelity Sim-To-Real Pipeline for Verifiable and Compositional Reinforcement Learning
Cyrus Neary, Christian Ellis, Aryaman Singh Samyal, Craig Lennon, Ufuk Topcu
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Improving Out-Of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
Yating Lin, Glen Chou, Dmitry Berenson
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Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing
Fan Zhang, Yiannis Demiris
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Masked Gamma-SSL: Learning Uncertainty Estimation Via Masked Image Modeling
David Williams, Matthew Gadd, Paul Newman, Daniele De Martini
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Learning Model Predictive Control with Error Dynamics Regression for Autonomous Racing
Haoru Xue, Edward Zhu, John M. Dolan, Francesco Borrelli
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WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather Conditions
JiYuan Wang, chunyu lin, Lang Nie, shujuan Huang, Xing Pan, Rui Ai, Yao Zhao
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Learning Fabric Manipulation in the Real World with Human Videos
Robert Lee, Jad Abou-Chakra, Fangyi Zhang, Peter Corke
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Weighting Online Decision Transformer with Episodic Memory for Offline-to-Online Reinforcement Learning
Xiao Ma, Wu-Jun Li
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Learning-based Inverse Perception Contracts and Applications
Dawei Sun, benjamin yang, Sayan Mitra
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Learning Covariances for Estimation with Constrained Bilevel Optimization
Mohamad Qadri, Zachary Manchester, Michael Kaess
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Robot Fine-Tuning Made Easy: Pre-Training Rewards and Policies for Autonomous Real-World Reinforcement Learning
Jingyun Yang, Max Sobol Mark, Brandon Vu, Archit Sharma, Jeannette Bohg, Chelsea Finn
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Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
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Joint Response and Background Learning for UAV Visual Tracking
Biao Wang, Wenling Li, Bin Zhang, Yang Liu
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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Two-Stage Learning of Highly Dynamic Motions with Rigid and Articulated Soft Quadrupeds
francesco vezzi, Jiatao Ding, Antonin Raffin, Jens Kober, Cosimo Della Santina
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Learning Generalizable Patrolling Strategies through Domain Randomization of Attacker Behaviors
Carlos Diaz Alvarenga, Nicola Basilico, Stefano Carpin
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Learning to Design 3D Printable Adaptations on Everyday Objects for Robot Manipulation
Michelle Guo, Ziang Liu, Stephen Tian, Zhaoming Xie, Jiajun Wu, Karen Liu
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Projected Task-Specific Layers for Multi-Task Reinforcement Learning
Josselin Somerville Roberts, Julia Di
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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Prompting Multi-Modal Tokens to Enhance End-To-End AutonomousDriving Imitation Learning with LLMs
YIQUN DUAN, Qiang Zhang, Renjing Xu
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An Environmental-Complexity-Based Navigation Method Based on Hierarchical Deep Reinforcement Learning
Pengbin Chen, Qi Liu, Yanjie Li, Shuaikang Ma
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Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Li Ling, Jun Zhang, Nils Bore, John Folkesson, Anna Wåhlin
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Learning Complex Motion Plans Using Neural ODEs with Safety and Stability Guarantees
Farhad Nawaz Savvas Sadiq Ali, Tianyu Li, Nikolai Matni, Nadia Figueroa
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