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865 result(s) for “Representation Learning” Page 1 of 18
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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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Masked Local-Global Representation Learning for 3D Point Cloud Domain Adaptation
Bowei Xing, Xianghua Ying, Ruibin Wang
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Data-Driven Latent Space Representation for Robust Bipedal Locomotion Learning
Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid
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CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation
Peter So, Rafael Ignacio Cabral Muchacho, Robin Jeanne Kirschner, Abdalla Swikir, Luis Figueredo, Fares Abu-Dakka, Sami Haddadin
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Few-Shot Learning of Force-Based Motions from Demonstration through Pre-Training of Haptic Representation
Marina Y. Aoyama, Joao Moura, Namiko Saito, Sethu Vijayakumar
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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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CVFormer: Learning Circum-View Representation and Consistency Constraints for Vision-Based Occupancy Prediction Via Transformers
Zhengqi Bai, Wenjun Shi, Dongchen Zhu, HanLong Kang, Guanghui Zhang, Gang Ye, Yang Xiao, Lei Wang, Xiaolin Zhang, bo Li, Jiamao Li
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Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, zfw1993 Fangwei Zhong, Aaron Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
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Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
Vedant Dave, Fotios Lygerakis, Elmar Rueckert
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C3F: Constant Collaboration and Communication Framework for Graph-Representation Dynamic Multi-Robotic Systems
Hongda Jia, Zijian Gao, Cheng Yang, Bo Ding, Yuanzhao Zhai, Huaimin Wang
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InterRep: A Visual Interaction Representation for Robotic Grasping
Yu Cui, Qi Ye, Qingtao Liu, Anjun Chen, Gaofeng Li, Jiming Chen
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Circular Accessible Depth: A Robust Traversability Representation for UGV Navigation
Shikuan Xie, Ran Song, Yuenan Zhao, Xueqin Huang, Yibin Li, Wei Zhang
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Attention-Based Cloth Manipulation from Model-Free Topological Representation
Kevin Galassi, Bingbing WU, JULIEN PEREZ, Gianluca Palli, Jean-Michel RENDERS
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Self Model for Embodied Intelligence: Modeling Full-Body Human Musculoskeletal System and Locomotion Control with Hierarchical Low-Dimensional Representation
Chenhui Zuo, Kaibo He, Jing Shao, Yanan Sui
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ERRA: An Embodied Representation and Reasoning Architecture for Long-Horizon Language-Conditioned Manipulation Tasks
Chao Zhao, Shuai Yuan, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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KINet: Unsupervised Forward Models for Robotic Pushing Manipulation
Alireza Rezazadeh, Changhyun Choi
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MMPI: A Flexible Radiance Field Representation by Multiple Multi-Plane Images Blending
Yuze He, Peng Wang, Yubin Hu, Wang Zhao, Ran Yi, Yong-Jin Liu, Wenping Wang
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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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VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition
Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman
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Exploiting Transformer in Sparse Reward Reinforcement Learning for Interpretable Temporal Logic Motion Planning
Hao Zhang, Hao Wang, Zhen Kan
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DefFusion: Deformable Multimodal Representation Fusion for 3D Semantic Segmentation
Rongtao Xu, Changwei wang, Duzhen Zhang, Man Zhang, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang
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NFL: Normal Field Learning for 6-DoF Grasping of Transparent Objects
Junho Lee, Sang Min Kim, Yonghyeon Lee, Young Min Kim
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Enhancing Task Performance of Learned Simplified Models Via Reinforcement Learning
Hien Bui, Michael Posa
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Enhancing Motion Trajectory Segmentation of Rigid Bodies Using a Novel Screw-Based Trajectory-Shape Representation
Arno Verduyn, Maxim Vochten, Joris De Schutter
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A Surprisingly Efficient Representation for Multi-Finger Grasping
Hengxu Yan, Hao-Shu Fang, Cewu Lu
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H2-Mapping: Real-Time Dense Mapping Using Hierarchical Hybrid Representation
Chenxing Jiang, Hanwen Zhang, Peize LIU, Zehuan Yu, Hui Cheng, Boyu Zhou, Shaojie Shen
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CURL-MAP: Continuous Mapping and Positioning with CURL Representation
Kaicheng Zhang, Yining Ding, Shida Xu, Ziyang Hong, Xianwen Kong, Sen Wang
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Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving
Junyi Cao, Zhichao Li, Naiyan Wang, Chao Ma
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Towards Large-Scale Incremental Dense Mapping Using Robot-Centric Implicit Neural Representation
Jianheng Liu, Haoyao Chen
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Incremental 3D Reconstruction through a Hybrid Explicit-and-Implicit Representation
Feifei Li, Panwen Hu, Qi Song, Rui Huang
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Goal-Conditioned Reinforcement Learning with Disentanglement-Based Reachability Planning
Zhifeng Qian, YOU MINGYU, Zhou Hongjun, Xuanhui Xu, Bin He
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Force-Based Semantic Representation and Estimation of Feature Points for Robotic Cable Manipulation with Environmental Contacts
Andrea Monguzzi, Yiannis Karayiannidis, Paolo Rocco, Andrea Maria Zanchettin
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NGEL-SLAM: Neural Implicit Representation-Based Global Consistent Low-Latency SLAM System
Yunxuan Mao, Xuan Yu, Zhuqing Zhang, Kai Wang, Yue Wang, Rong Xiong, Yiyi Liao
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Open-Fusion: Real-Time Open-Vocabulary 3D Mapping and Queryable Scene Representation
Kashu Yamazaki, Taisei Hanyu, Khoa Vo, Trong Thang Pham, Tran Minh, Gianfranco Doretto, Anh Nguyen, Ngan Le
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Masked Visual-Tactile Pre-training for Robot Manipulation
Qingtao Liu, Qi Ye, Zhengnan Sun, Yu Cui, Gaofeng Li, Jiming Chen
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RoboHop: Segment-Based Topological Map Representation for Open-World Visual Navigation
Sourav Garg, Krishan Rana, Mehdi Hosseinzadeh, Lachlan Mares, Niko Sünderhauf, Feras Dayoub, Ian Reid
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The Grasp Loop Signature: A Topological Representation for Manipulation Planning with Ropes and Cables
Peter Mitrano, Dmitry Berenson
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Tree-Based Representation of Locally Shortest Paths for 2D K-Shortest Non-Homotopic Path Planning
Tong Yang, Li Huang, Yue Wang, Rong Xiong
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Efficient 3D Instance Mapping and Localization with Neural Fields
George Tang, Krishna Murthy Jatavallabhula, Antonio Torralba
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FuncGrasp: Learning Object-Centric Neural Grasp Functions from Single Annotated Example Object
Hanzhi Chen, Binbin Xu, Stefan Leutenegger
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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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Contrastive Learning for Enhancing Robust Scene Transfer in Vision-Based Agile Flight
Jiaxu Xing, Leonard Bauersfeld, Yunlong Song, Chunwei Xing, Davide Scaramuzza
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CNS: Correspondence Encoded Neural Image Servo Policy
Anzhe Chen, Hongxiang Yu, Yue Wang, Rong Xiong
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Communicating Intent As Behaviour Trees for Decentralised Multi-Robot Coordination
Rhett Hull, Diluka Prasanjith Moratuwage, Emily Scheide, Robert Fitch, Graeme Best
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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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Crossway Diffusion: Improving Diffusion-Based Visuomotor Policy Via Self-Supervised Learning
Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo
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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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V-STRONG: Visual Self-Supervised Traversability Learning for Off-Road Navigation
Sanghun Jung, JoonHo Lee, Xiangyun Meng, Byron Boots, Alexander Lambert
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