Results 151 to 160 of about 3,318,906 (295)

Distributed Micropneumatic Sensors for Soft Robots to Detect Touch and Pose

Advanced Robotics Research, EarlyView.
Soft robots need integrated touch and pose sensing for safe and reliable operation. This work presents a three‐fingered soft gripper with 18 micropneumatic sensors made from the same materials as its pneumatic actuators. By measuring airflow resistance changes in deforming microchannels of the sensors, finger pose and contact are detected, enabling ...
Vilma Lampinen, Mika Pihlajamäki, Md Nazmul Huda, Veikko Sariola   +3 more
wiley   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

Advanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor, Josephine T. Djirackor, Amanuel Abrdo Tereda, Sun Yi, Younho Seong   +4 more
wiley   +1 more source

Neural Radiance Fields-Based 3D Reconstruction of Power Transmission Lines Using Progressive Motion Sequence Images. [PDF]

Sensors (Basel), 2023
Zeng Y, Lei J, Feng T, Qin X, Li B, Wang Y, Wang D, Song J.   +7 more
europepmc   +1 more source

Irregularity Inspection using Neural Radiance Field

CoRR
With the increasing growth of industrialization, more and more industries are relying on machine automation for production. However, defect detection in large-scale production machinery is becoming increasingly important. Due to their large size and height, it is often challenging for professionals to conduct defect inspections on such large machinery.
Tianqi Ding, Dawei Xiang
openaire   +2 more sources

A Soft, Flexible Implant for Wireless Photothermal–Pyroelectric Neurostimulation

Advanced Science, EarlyView.
A replication strategy is used to enlarge the exposed surface area of barium titanate within flexible films with embedded carbon nanotubes, enabling efficient photothermal‐pyroelectric stimulation. Polar crystalline nanosheets show superior performance in guiding neural progenitor cells toward neuronal differentiation.
Jiang Wu, Minmin Mao, Beltzane Garcia Cirera, Hao Ye, Xiangzhong Chen, Josep Puigmartí‐Luis, Ni Qin, Salvador Pané   +7 more
wiley   +1 more source

Depth Priors in Removal Neural Radiance Fields

17 ...
Zhihao Guo, Peng Wang 0076
openaire   +3 more sources

Active Perception using Neural Radiance Fields

2024 American Control Conference (ACC)
We study active perception from first principles to argue that an autonomous agent performing active perception should maximize the mutual information that past observations posses about future ones. Doing so requires (a) a representation of the scene that summarizes past observations and the ability to update this representation to incorporate new ...
Siming He, Christopher D. Hsu, Dexter Ong, Yifei Simon Shao, Pratik Chaudhari   +4 more
openaire   +3 more sources

RelationField: Relate Anything in Radiance Fields

Neural radiance fields are an emerging 3D scene representation and recently even been extended to learn features for scene understanding by distilling open-vocabulary features from vision-language models. However, current method primarily focus on object-
Vaskevicius, Narunas; orcid:, Tombari, Federico, Wald, Johanna, Hermosilla, Pedro, Ropinski, Timo; orcid:, Colosi, Mirco; orcid:, Koch, Sebastian; orcid:   +6 more
core   +1 more source

Binary Radiance Fields

, 2023
In this paper, we propose binary radiance fields (BiRF), a storage-efficient radiance field representation employing binary feature encoding in a format of either +1 or -1. This binarization strategy lets us represent the feature grid with highly compact
신승주, 박재식
core  

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source