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865 result(s) for “Representation Learning” Page 5 of 18
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MIM: Indoor and Outdoor Navigation in Complex Environments Using Multi-Layer Intensity Maps
Adarsh Jagan Sathyamoorthy, Kasun Weerakoon Kulathun Mudiyanselage, Mohamed Elnoor, Mason Russell, Jason Pusey, Dinesh Manocha
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MBFusion: A New Multi-Modal BEV Feature Fusion Method for HD Map Construction
Xiaoshuai Hao, Hui Zhang, yifan yang, Yi ZHOU, Sangil Jung, Seung-In Park, ByungIn Yoo
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You Only Scan Once: A Dynamic Scene Reconstruction Pipeline for 6-DoF Robotic Grasping of Novel Objects
Lei Zhou, Haozhe Wang, Zhengshen Zhang, Zhiyang Liu, Francis TAY, Marcelo H Ang Jr
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Design and Evaluation of a Generic Visual SLAM Framework for Multi Camera Systems
Pushyami Kaveti, Shankara Narayanan Vaidyanathan, Arvind Thamil Chelvan, Hanumant Singh
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KT-BT: A Framework for Knowledge Transfer through Behavior Trees in Multi-Robot Systems
Sanjay Sarma Oruganti Venkata, Ramviyas Parasuraman, Ramana Pidaparti
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HEGN: Hierarchical Equivariant Graph Neural Network for 9DoF Point Cloud Registration
Adam Misik, Driton Salihu, Xin Su, Heike Brock, Eckehard Steinbach
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Online 3D Edge Reconstruction of Wiry Structures from Monocular Image Sequences
Hyelim Choi, Minji Lee, Jiseock Kang, Dongjun Lee
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Spatial Assisted Human-Drone Collaborative Navigation and Interaction through Immersive Mixed Reality
Luca Morando, Giuseppe Loianno
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LOG-LIO: A LiDAR-Inertial Odometry with Efficient Local Geometric Information Estimation
Kai Huang, Junqiao Zhao, Zhongyang Zhu, Chen Ye, Tiantian Feng
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Towards Optimal Design of Dielectric Elastomer Actuators Using a Graph Neural Network Encoder
Yangfan Li, Jun Liu, Wenyu Liang, ZhuangJian Liu
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ViHOPE: Visuotactile In-Hand Object 6D Pose Estimation with Shape Completion
Hongyu Li, Snehal Dikhale, Soshi Iba, Nawid Jamali
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Saturation-Aware Angular Velocity Estimation: Extending the Robustness of SLAM to Aggressive Motions
Simon-Pierre Deschênes, Dominic Baril, Matej Boxan, Johann Laconte, Philippe Giguère, Francois Pomerleau
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GrASPE: Graph Based Multimodal Fusion for Robot Navigation in Outdoor Environments
Kasun Weerakoon Kulathun Mudiyanselage, Adarsh Jagan Sathyamoorthy, Jing Liang, Tianrui Guan, Utsav Patel, Dinesh Manocha
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SiLVR: Scalable Lidar-Visual Reconstruction with Neural Radiance Fields for Robotic Inspection
Yifu Tao, Yash Sanjay Bhalgat, Lanke Frank Tarimo Fu, Matias Mattamala, Nived Chebrolu, Maurice Fallon
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A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration
Maleen Jayasuriya, Gibson Hu, Dinh Dang Khoa Le, Karyne Ang, Shankar Sankaran, Dikai Liu
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S-Graphs+: Real-Time Localization and Mapping Leveraging Hierarchical Representations
Hriday Bavle, Jose Luis Sanchez-Lopez, Muhammad Shaheer, Javier Civera, Holger Voos
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SG-RoadSeg: End-To-End Collision-Free Space Detection Sharing Encoder Representations Jointly Learned Via Unsupervised Deep Stereo
Zhiyuan Wu, Jiaqi Li, Yi Feng, Chengju Liu, Wei Ye, Qijun Chen, Rui Fan
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Floating-Base Manipulation on Zero-Perturbation Manifolds
Brian Bittner, Jason Reid, Kevin Wolfe
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ProEqBEV: Product Group Equivariant BEV Network for 3D Object Detection in Road Scenes of Autonomous Driving
Hongwei Liu, Jian Yang, Zhengyu Li, Ke Li, Jianzhang Zheng, Xihao Wang, XUAN TANG, Mingsong Chen, xian wei, Xiong You
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FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving
Yuxuan LIU, Zhenhua Xu, Huaiyang Huang, Lujia Wang, Ming Liu
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Torque-Based Deep Reinforcement Learning for Task-And-Robot Agnostic Learning on Bipedal Robots Using Sim-To-Real Transfer
Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
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Pseudo-Labeling and Contextual Curriculum Learning for Online Grasp Learning in Robotic Bin Picking
Huy Le, Philipp Schillinger, Miroslav Gabriel, Alexander Qualmann, Ngo Anh Vien
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Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations Via Inverse Reinforcement Learning
Feiyang Wu, Zhaoyuan Gu, Hanran Wu, Anqi Wu, Ye Zhao
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A Wearable Robotic Hand for Hand-Over-Hand Imitation Learning
Dehao Wei, Huazhe Xu
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POAQL: A Partially Observable Altruistic Q-Learning Method for Cooperative Multi-Agent Reinforcement Learning
Lesong Tao, miao kang, Jinpeng Dong, Songyi Zhang, Ke Ye, Shitao Chen, Nanning Zheng
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SofToss: Learning to Throw Objects with a Soft Robot
Diego Bianchi, Michele Gabrio Ernesto Antonelli, Cecilia Laschi, Angelo Maria Sabatini, Egidio Falotico
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Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning
Thomas Bi, Raffaello D'Andrea
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Learning a Flexible Neural Energy Function with a Unique Minimum for Globally Stable and Accurate Demonstration Learning
Zhehao Jin, WEIYONG SI, Andong Liu, Wen-An Zhang, Li Yu, Chenguang Yang
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Symmetric Models for Visual Force Policy Learning
Colin Kohler, Anuj Shrivatsav Srikanth, Eshan Arora, Robert Platt
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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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Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry
Shengchao Yan, Baohe Zhang, Yuan Zhang, Joschka Boedecker, Wolfram Burgard
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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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Leveraging the Efficiency of Multi-Task Robot Manipulation Via Task-Evoked Planner and Reinforcement Learning
Haofu Qian, Haoyang Zhang, Jun Shao, Jiatao Zhang, Jason Gu, Wei Song, Shiqiang Zhu
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AD4RL: Autonomous Driving Benchmarks for Offline Reinforcement Learning with Value-based Dataset
Dongsu Lee, Chanin Eom, Minhae Kwon
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Subequivariant Reinforcement Learning Framework for Coordinated Motion Control
Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu
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Task-Driven Domain-Agnostic Learning with Information Bottleneck for Autonomous Steering
Yu Shen, Laura Zheng, Tianyi Zhou, Ming C. Lin
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Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Hyukjun Kwon, kangwon kim, JUNYOUNG LEE, Hyunsei Lee, Jiseung Kim, JINHYUNG KIM, taehyeong Kim, Yong Nyeon Kim, Yang Ni, Mohsen Imani, Il Hong Suh, Yeseong Kim
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CrossVideo: Self-Supervised Cross-Modal Contrastive Learning for Point Cloud Video Understanding
Yunze Liu, Changxi Chen, Zifan Wang, Li Yi
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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
Vindula Jayawardana, Sirui Li, Cathy Wu, Yashar Farid, Kentaro Oguchi
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Adaptive Robot-Human Handovers with Preference Learning
Gojko Perovic, Francesco Iori, Angela Mazzeo, Marco Controzzi, Egidio Falotico
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Learning Active Manipulation to Target Shapes with Model-Free, Long-Horizon Deep Reinforcement Learning
Matias Sivertsvik, Kirill Sumskiy, Ekrem Misimi
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MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Learning via Interactive Perception
Gyan Tatiya, Jonathan Francis, Ho-Hsiang Wu, Yonatan Bisk, Jivko Sinapov
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Learning Needle Pick-And-Place without Expert Demonstrations
Rokas Bendikas, Valerio Modugno, Dimitrios Kanoulas, Francisco Vasconcelos, Danail Stoyanov
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ORBIT-Surgical: An Open-Simulation Framework for Learning Surgical Augmented Dexterity
Qinxi Yu, Masoud Moghani, Karthik Dharmarajan, Vincent Schorp, William Panitch, Jingzhou Liu, Kush Hari, Huang Huang, Mayank Mittal, Ken Goldberg, Animesh Garg
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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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Efficient Multi-Task and Transfer Reinforcement Learning with Parameter-Compositional Framework
Lingfeng Sun, Haichao Zhang, Wei Xu, Masayoshi Tomizuka
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Mastering Stacking of Diverse Shapes with Large-Scale Iterative Reinforcement Learning on Real Robots
Thomas Lampe, Abbas Abdolmaleki, Sandy H. Huang, Sarah Bechtle, Jost Tobias Springenberg, Michael Bloesch, Oliver Groth, Roland Hafner, Tim Hertweck, Michael Neunert, Markus Wulfmeier, Jingwei Zhang, Francesco Nori, Nicolas Heess, Martin Riedmiller
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Optimal Containment Control of Multiple Quadrotors Via Reinforcement Learning
Ming Cheng, Hao Liu, Deyuan Liu, Haibo Gu, Xiangke Wang
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Reinforcement Learning for Collision-Free Flight Exploiting Deep Collision Encoding
Mihir Kulkarni, Kostas Alexis
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A Tube-Based Reinforcement Learning Approach for Optimal Motion Planning in Unknown Workspaces
Panagiotis Rousseas, Charalampos Bechlioulis, Kostas Kyriakopoulos
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