Copertina

Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Haoyi, Wang, Yating, Huang, Di, Ye, Weicai, Ouyang, Wanli, He, Tong
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning
di: Yang, Jiange, et al.
Pubblicazione: (2025)

Where Am I and What Will I See: An Auto-Regressive Model for Spatial Localization and View Prediction
di: Chen, Junyi, et al.
Pubblicazione: (2024)

DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild
di: Ye, Weicai, et al.
Pubblicazione: (2024)

VQ-VLA: Improving Vision-Language-Action Models via Scaling Vector-Quantized Action Tokenizers
di: Wang, Yating, et al.
Pubblicazione: (2025)

DiffPano: Scalable and Consistent Text to Panorama Generation with Spherical Epipolar-Aware Diffusion
di: Ye, Weicai, et al.
Pubblicazione: (2024)

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction
di: Wang, Yifan, et al.
Pubblicazione: (2024)

Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration
di: Li, Shiqi, et al.
Pubblicazione: (2025)

SPA: 3D Spatial-Awareness Enables Effective Embodied Representation
di: Zhu, Haoyi, et al.
Pubblicazione: (2024)

Filling Missing Values Matters for Range Image-Based Point Cloud Segmentation
di: Chen, Bike, et al.
Pubblicazione: (2024)

Bridge Thinking and Acting: Unleashing Physical Potential of VLM with Generalizable Action Expert
di: Liu, Mingyu, et al.
Pubblicazione: (2025)

Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
di: Zhang, Guowen, et al.
Pubblicazione: (2024)

Towards Fusing Point Cloud and Visual Representations for Imitation Learning
di: Donat, Atalay, et al.
Pubblicazione: (2025)

Efficient Robotic Policy Learning via Latent Space Backward Planning
di: Liu, Dongxiu, et al.
Pubblicazione: (2025)

Incremental Multiview Point Cloud Registration with Two-stage Candidate Retrieval
di: Li, Shiqi, et al.
Pubblicazione: (2024)

Rectified Point Flow: Generic Point Cloud Pose Estimation
di: Sun, Tao, et al.
Pubblicazione: (2025)

PIRATR: Parametric Object Inference for Robotic Applications with Transformers in 3D Point Clouds
di: Schwingshackl, Michael, et al.
Pubblicazione: (2026)

Label-Efficient Point Cloud Segmentation with Active Learning
di: Meyer, Johannes, et al.
Pubblicazione: (2025)

Unsupervised Change Detection for Space Habitats Using 3D Point Clouds
di: Santos, Jamie, et al.
Pubblicazione: (2023)

Point Tree Transformer for Point Cloud Registration
di: Wang, Meiling, et al.
Pubblicazione: (2024)

RH20T-P: A Primitive-Level Robotic Dataset Towards Composable Generalization Agents
di: Chen, Zeren, et al.
Pubblicazione: (2024)

AutoURDF: Unsupervised Robot Modeling from Point Cloud Frames Using Cluster Registration
di: Lin, Jiong, et al.
Pubblicazione: (2024)

Register Any Point: Scaling 3D Point Cloud Registration by Flow Matching
di: Pan, Yue, et al.
Pubblicazione: (2025)

Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
di: Ling, Li, et al.
Pubblicazione: (2024)

VIPeR: Visual Incremental Place Recognition with Adaptive Mining and Continual Learning
di: Ming, Yuhang, et al.
Pubblicazione: (2024)

GigaGS: Scaling up Planar-Based 3D Gaussians for Large Scene Surface Reconstruction
di: Chen, Junyi, et al.
Pubblicazione: (2024)

Learning Smooth State-Dependent Traversability from Dense Point Clouds
di: Dong, Zihao, et al.
Pubblicazione: (2025)

Point Cloud Models Improve Visual Robustness in Robotic Learners
di: Peri, Skand, et al.
Pubblicazione: (2024)

Grasping Trajectory Optimization with Point Clouds
di: Xiang, Yu, et al.
Pubblicazione: (2024)

RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction
di: Stathoulopoulos, Nikolaos, et al.
Pubblicazione: (2024)

Skeletonization Quality Evaluation: Geometric Metrics for Point Cloud Analysis in Robotics
di: Wen, Qingmeng, et al.
Pubblicazione: (2025)

FlexCloud: Direct, Modular Georeferencing and Drift-Correction of Point Cloud Maps
di: Leitenstern, Maximilian, et al.
Pubblicazione: (2025)

Efficient and Robust Point Cloud Registration via Heuristics-guided Parameter Search
di: Huang, Tianyu, et al.
Pubblicazione: (2024)

Registration between Point Cloud Streams and Sequential Bounding Boxes via Gradient Descent
di: Li, Xuesong, et al.
Pubblicazione: (2024)

Correspondence-Free Multiview Point Cloud Registration via Depth-Guided Joint Optimisation
di: Zhou, Yiran, et al.
Pubblicazione: (2025)

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion
di: Martyniuk, Tetiana, et al.
Pubblicazione: (2025)

TripleMixer: A 3D Point Cloud Denoising Model for Adverse Weather
di: Zhao, Xiongwei, et al.
Pubblicazione: (2024)

Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training
di: Mahendren, Sutharsan, et al.
Pubblicazione: (2024)

MATCH POLICY: A Simple Pipeline from Point Cloud Registration to Manipulation Policies
di: Huang, Haojie, et al.
Pubblicazione: (2024)

Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments
di: Amin, Fatemeh Mohammadi, et al.
Pubblicazione: (2025)

RobMOT: Robust 3D Multi-Object Tracking by Observational Noise and State Estimation Drift Mitigation on LiDAR PointCloud
di: Nagy, Mohamed, et al.
Pubblicazione: (2024)