A framework for robotic excavation and dry stone construction using on-site materials

RL Johns, M Wermelinger, R Mascaro, D Jud… - Science Robotics, 2023 - science.org
Automated building processes that enable efficient in situ resource utilization can facilitate
construction in remote locations while simultaneously offering a carbon-reducing alternative …

Vision-based excavator pose estimation for automatic control

G Liu, Q Wang, T Wang, B Li, X Xi - Automation in Construction, 2024 - Elsevier
Hydraulic excavators, widely employed in harsh environments, have garnered increased
attention in recent years from manufacturers and researchers for automatic operation …

Voxfield: Non-projective signed distance fields for online planning and 3d reconstruction

Y Pan, Y Kompis, L Bartolomei… - 2022 IEEE/RSJ …, 2022 - ieeexplore.ieee.org
Creating accurate maps of complex, unknown environments is of utmost importance for truly
autonomous navigation robot. However, building these maps online is far from trivial …

A review of intelligent vision enhancement technology for battlefield

Y Wu, Y He, N Li, G Wang, L Zhang… - Wireless …, 2023 - Wiley Online Library
This paper reviews the application of intelligent vision enhancement technology in the
battlefield environment and explores new research directions. This paper mainly introduces …

Volumetric semantically consistent 3d panoptic mapping

Y Miao, I Armeni, M Pollefeys, D Barath - arXiv preprint arXiv:2309.14737, 2023 - arxiv.org
We introduce an online 2D-to-3D semantic instance mapping algorithm aimed at generating
comprehensive, accurate, and efficient semantic 3D maps suitable for autonomous agents in …

RP-SG: Relation Prediction in 3D Scene Graphs for Unobserved Objects Localization

Z Ying, X Yuan, B Yang, Y Song, Q Xu… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The ability to search for objects is a fundamental prerequisite for mobile robots when
addressing a wide range of automation tasks. However, how to effectively estimate the …

Evaluating techniques for accurate 3d object model extraction through image-based deep learning object detection and point cloud segmentation

A Mora, A Mendez, R Barber - 2023 European Conference on …, 2023 - ieeexplore.ieee.org
Accurate 3D object model extraction is essential for a wide range of robotics applications,
including grasping and object mapping, which require precise knowledge of objects' shape …

Accurate and Efficient 3D Panoptic Mapping Using Diverse Information Modalities and Multidimensional Data Association

Z Ying, X Yuan, B Song, Y Song… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
3D Panoptic perception is essential for the understanding of real-world environment and
plays an increasingly important role in the field of robotics. However, most existing methods …

DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques

T Hu, J Jiao, Y Xu, H Liu, S Wang, M Liu - arXiv preprint arXiv:2403.16880, 2024 - arxiv.org
Maps provide robots with crucial environmental knowledge, thereby enabling them to
perform interactive tasks effectively. Easily accessing accurate abstract-to-detailed …

Open-Set 3D Semantic Instance Maps for Vision Language Navigation--O3D-SIM

L Nanwani, K Gupta, A Mathur, S Agrawal… - arXiv preprint arXiv …, 2024 - arxiv.org
Humans excel at forming mental maps of their surroundings, equipping them to understand
object relationships and navigate based on language queries. Our previous work SI Maps …