Results 81 to 90 of about 103,607 (290)
Animatable Neural Radiance Fields from Monocular RGB Videos
, 2021 12 pages, 12 ...
Chen, Jianchuan +6 more
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Learning human activities and object affordances from RGB-D videos [PDF]
The International Journal of Robotics Research, 2013 Understanding human activities and object affordances are two very important skills, especially for personal robots which operate in human environments. In this work, we consider the problem of extracting a descriptive labeling of the sequence of sub-activities being performed by a human, and more importantly, of their interactions with the objects in
Koppula, Hema Swetha +2 more
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Advanced Robotics Research, EarlyView.This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks
, 2017 3D scene understanding is important for robots to interact with the 3D world in a meaningful way. Most previous works on 3D scene understanding focus on recognizing geometrical or semantic properties of the scene independently. In this work, we introduce
Fox, Dieter, Xiang, Yu
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Spectral video construction from RGB video: Application to Image Guided Neurosurgery
, 2016 Spectral imaging has received enormous interest in the field of medical imaging modalities. It provides a powerful tool for the analysis of different organs and non-invasive tissues. Therefore, significant amount of research has been conducted to explore the possibility of using spectral imaging in biomedical applications.
Hasnat, Md. Abul +2 more
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Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image
, 2018 We consider the problem of dense depth prediction from a sparse set of depth measurements and a single RGB image. Since depth estimation from monocular images alone is inherently ambiguous and unreliable, to attain a higher level of robustness and ...
Karaman, Sertac, Ma, Fangchang
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Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation
Advanced Robotics Research, EarlyView.A magnetic tip mount is designed for a miniaturized 7 mm soft‐growing vine robot to enable wireless magnetic steering and onboard imaging, while preserving a 3 mm working channel. The internal–external ring magnets design balances magnetic attachment with low eversion pressure. Experiments demonstrate ±90° steering, 34 mm bending radius, and successful
Andrea Yanez Trujillo +4 more
wiley +1 more source
3D Human Activity Recognition with Reconfigurable Convolutional Neural Networks
, 2015 Human activity understanding with 3D/depth sensors has received increasing attention in multimedia processing and interactions. This work targets on developing a novel deep model for automatic activity recognition from RGB-D videos.
Lin, Liang +4 more
core +1 more source
Reconstructing Articulated Rigged Models from RGB-D Videos [PDF]
, 2016 Although commercial and open-source software exist to reconstruct a static object from a sequence recorded with an RGB-D sensor, there is a lack of tools that build rigged models of articulated objects that deform realistically and can be used for tracking or animation.
Tzionas, D., Gall, J.
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