Results 91 to 100 of about 16,759,811 (301)
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
A Novel RGB-D Camera Based Dataset for Spacecraft Pose Estimation
In the field of close-proximity space operations, RGB-D cameras have been used widely. However, publicly available spacecraft datasets for pose estimation are primarily based solely on image data.
Hanxue Zhao +6 more
doaj +1 more source
ResFusion: deeply fused scene parsing network for RGB‐D images
Scene parsing is a very challenging work for complex and diverse scenes. In this study, the authors address the problem of semantic segmentation of indoor scenes for red, green, blue‐depth (RGB‐D) images.
Juting Dai, Xinyi Tang
doaj +1 more source
RGB-D Tongue State Classification Dataset
RGB-D images of faces cropped to mouth region with participants showing making 1 of 7 mouth/tongue states. Dataset includes images from 17 participants. Multiple locations/lighting environments were used for filming, but each participant was filmed in a ...
Murga, Stefan
core +1 more source
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
Unsupervised Feature Learning for RGB-D Image Classification [PDF]
Motivated by the success of Deep Neural Networks in computer vision, we propose a deep Regularized Reconstruction Independent Component Analysis network (R\(^2\)ICA) for RGB-D image classification. In each layer of this network, we include a R\(^2\)ICA as the basic building block to determine the relationship between the gray-scale and depth images ...
I-Hong Jhuo +4 more
openaire +1 more source
3D Reconstruction from RGB-D Data
A key task in computer vision is that of generating virtual 3D models of real-world scenes by reconstructing the shape, appearance and, in the case of dynamic scenes, motion of the scene from visual sensors. Recently, low-cost video plus depth (RGB-D)
Guillemaut, Jean-Yves +5 more
core +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Cross-modal interactive and global awareness fusion network for RGB-D salient object detection.
The RGB-D salient object detection technique has garnered significant attention in recent years due to its excellent performance. It outperforms salient object detection methods that rely solely on RGB images by leveraging the geometric morphology and ...
Runqing Li +3 more
doaj +1 more source
Cascading attention enhancement network for RGB-D indoor scene segmentation
Convolutional neural network based Red, Green, Blue, and Depth (RGB-D) image semantic segmentation for indoor scenes has attracted increasing attention, because of its great potentiality of extracting semantic information from RGB-D images.
Tang, X +8 more
core +1 more source

