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234 result(s) for “Traversability Representation” Page 1 of 5
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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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Gaussian Process-Based Traversability Analysis for Terrain Mapless Navigation
Abraham Abe Leininger, Mahmoud Ali, Hassan Jardali, Lantao Liu
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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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STAGE: Scalable and Traversability-Aware Graph Based Exploration Planner for Dynamically Varying Environments
Akash Patel, Mario Alberto Valdes Saucedo, Christoforos Kanellakis, George Nikolakopoulos
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Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers
Reiya Takemura, Genya Ishigami
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A Framework for Real-Time Generation of Multi-Directional Traversability Maps in Unstructured Environments
Tao Huang, Gang Wang, Hongliang Liu, Jun Luo, lang wu, Tao Zhu, Huayan Pu, Jun Luo, Shuxin Wang
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Robot-Dependent Traversability Estimation for Outdoor Environments Using Deep Multimodal Variational Autoencoders
Matthias Eder, Gerald Steinbauer-Wagner
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WayFASTER: A Self-Supervised Traversability Prediction for Increased Navigation Awareness
Mateus Valverde Gasparino, Arun Narenthiran Sivakumar, Girish Chowdhary
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Learning Off-Road Terrain Traversability with Self-Supervisions Only
Junwon Seo, Sungdae Sim, Inwook Shim
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MTG: Mapless Trajectory Generator with Traversability Coverage for Outdoor Navigation
Jing Liang, Peng Gao, Xuesu Xiao, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Ming C. Lin, Dinesh Manocha
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Follow the Footprints: Self-Supervised Traversability Estimation for Off-Road Vehicle Navigation Based on Geometric and Visual Cues
Yurim Jeon, E-In Son, Seung-Woo Seo
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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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ViPlanner: Visual Semantic Imperative Learning for Local Navigation
Pascal Roth, Julian Nubert, Fan Yang, Mayank Mittal, Marco Hutter
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Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments
Yasmin Veys, Martina Stadler, Nicholas Roy
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RIDER: Reinforcement-Based Inferred Dynamics Via Emulating Rehearsals for Robot Navigation in Unstructured Environments
Sriram Siva, Maggie Wigness
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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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ColonMapper: Topological Mapping and Localization for Colonoscopy
Javier Morlana, Juan D. Tardos, J.M.M Montiel
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SMUG Planner: A Safe Multi-Goal Planner for Mobile Robots in Challenging Environments
Changan Chen, Jonas Frey, Philip Arm, Marco Hutter
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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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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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QuadricsNet: Learning Concise Representation for Geometric Primitives in Point Clouds
Ji Wu, Huai Yu, Wen Yang, Gui-Song Xia
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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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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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Seeing through the Grass: Semantic Pointcloud Filter for Support Surface Learning
Anqiao Li, Chenyu Yang, Jonas Frey, Joonho Lee, Cesar Cadena Lerma, Marco Hutter
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Effective Representation Learning Is More Effective in Reinforcement Learning Than You Think
Jiawei Zheng, Yonghong Song
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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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InterRep: A Visual Interaction Representation for Robotic Grasping
Yu Cui, Qi Ye, Qingtao Liu, Anjun Chen, Gaofeng Li, Jiming Chen
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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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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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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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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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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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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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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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INoD: Injected Noise Discriminator for Self-Supervised Representation Learning in Agricultural Fields
Julia Hindel, Nikhil Gosala, Kevin Bregler, Abhinav Valada
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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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Learning to Walk in Confined Spaces Using 3D Representation
Takahiro Miki, Joonho Lee, Lorenz Wellhausen, Marco Hutter
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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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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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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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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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The Grasp Loop Signature: A Topological Representation for Manipulation Planning with Ropes and Cables
Peter Mitrano, Dmitry Berenson
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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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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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Attention-Based Cloth Manipulation from Model-Free Topological Representation
Kevin Galassi, Bingbing WU, JULIEN PEREZ, Gianluca Palli, Jean-Michel RENDERS
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