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525 result(s) for “Transfer Learning” Page 2 of 11
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Weighted Maximum Likelihood for Controller Tuning
Angel Romero, Shreedhar Govil, Gonca Yilmaz, Yunlong Song, Davide Scaramuzza
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COLA: COarse LAbel Pre-Training for 3D Semantic Segmentation of Sparse LiDAR Datasets
Jules Sanchez, François GOULETTE, Jean-Emmanuel Deschaud
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On Human Grasping and Manipulation in Kitchens: Automated Annotation, Insights, and Metrics for Effective Data Collection
Nathan Elangovan, Ricardo de Godoy, Felipe Padula Sanches, Ke Wang, Tom White, Patrick Jarvis, Minas Liarokapis
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Transferring Implicit Knowledge of Non-Visual Object Properties across Heterogeneous Robot Morphologies
Gyan Tatiya, Jonathan Francis, Jivko Sinapov
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Self-Supervised Monocular Depth Underwater
Shlomi Amitai, Itzik Klein, Tali Treibitz
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GenDexGrasp: Generalizable Dexterous Grasping
Puhao Li, Tengyu Liu, Yuyang Li, Yiran Geng, Yixin Zhu, Yaodong Yang, Siyuan Huang
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Local Neural Descriptor Fields: Locally Conditioned Object Representations for Manipulation
Ethan Chun, Yilun Du, Anthony Simeonov, Tomas Lozano-Perez, Leslie Kaelbling
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Robust Locomotion on Legged Robots through Planning on Motion Primitive Graphs
Wyatt Ubellacker, Aaron Ames
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An Unconstrained Convex Formulation of Compliant Contact
Alejandro Castro, Frank Permenter, Xuchen Han
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Cross-Agent Relocalization for Decentralized Collaborative SLAM
Philipp Bänninger, Ignacio Alzugaray, Marco Karrer, Margarita Chli
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Multi-Objective Trajectory Optimization to Improve Ergonomics in Human Motion
Waldez Gomes, Pauline Maurice, Eloise Dalin, Jean-Baptiste Mouret, Serena Ivaldi
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Unsupervised RGB-To-Thermal Domain Adaptation Via Multi-Domain Attention Network
Lu Gan, Connor Lee, Soon-Jo Chung
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Multi-Agent Spatial Predictive Control with Application to Drone Flocking
Andreas Brandstätter, Scott Smolka, Scott Stoller, Ashish Tiwari, Radu Grosu
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Multi-Contact Task and Motion Planning Guided by Video Demonstration
Kateryna Zorina, David Kovar, Florent Lamiraux, Nicolas Mansard, Justin Carpentier, Josef Sivic, Vladimir Petrik
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CogniDaVinci: Towards Estimating Mental Workload Modulated by Visual Delays During Telerobotic Surgery -- an EEG-Based Analysis
Satyam Kumar, Deland Hu Liu, Frigyes Samuel Racz, Manuel Retana, Susheela Sharma, Fumiaki Iwane, Braden Murphy, Rory O'Keeffe, S. Farokh Atashzar, Farshid Alambeigi, José del R. Millán
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A Joint Modeling of Vision-Language-Action for Target-Oriented Grasping in Clutter
Kechun Xu, Shuqi Zhao, Zhongxiang Zhou, Zizhang Li, Huaijin Pi, Yifeng Zhu, Yue Wang, Rong Xiong
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RBO Hand 3 - A Platform for Soft Dexterous Manipulation
Steffen Puhlmann, Jason Harris, Oliver Brock
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Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu, Yuxiao Chen, Sushant Veer, Tong Che, Baishakhi Ray, Marco Pavone
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ARMBench: An Object-Centric Benchmark Dataset for Robotic Manipulation
Chaitanya Mitash, Fan Wang, Shiyang Lu, Vikedo Terhuja, Tyler Garaas, Felipe Polido, Manikantan Nambi
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A Soft, Wearable Skin-Brace for Assisting Forearm Pronation and Supination with a Low-Profile Design
Su, Huimin,Lee, Kyoung-Soub,Kim, Yusung,Park, Hyung-Soon
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Optimal Scheduling of Models and Horizons for Model Hierarchy Predictive Control
Charles Khazoom, Steve Heim, Daniel Gonzalez-Diaz, Sangbae Kim
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DexGrasp: Dexterous Multi-Finger Grasp Generation through Differentiable Simulation
Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven Dickinson, Animesh Garg
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GraspNeRF: Multiview-based 6-DoF Grasp Detection for Transparent and Specular Objects Using Generalizable NeRF
Qiyu Dai, Yan Zhu, Yiran Geng, Ciyu Ruan, Jiazhao Zhang, He Wang
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MMRDN: Consistent Representation for Multi-View Manipulation Relationship Detection in Object-Stacked Scenes
Han Wang, Jiayuan Zhang, Lipeng Wan, Xingyu Chen, Xuguang Lan, Nanning Zheng
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Hierarchical Graph Neural Networks for Proprioceptive 6D Pose Estimation of In-Hand Objects
Alireza Rezazadeh, Snehal Dikhale, Soshi Iba, Nawid Jamali
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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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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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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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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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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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Grey-Box Learning of Adaptive Manipulation Primitives for Robotic Assembly
Marco Braun, Sebastian Wrede
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Benchmarking Reinforcement Learning Techniques for Autonomous Navigation
Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone
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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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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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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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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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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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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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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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