Results 111 to 120 of about 14,435,990 (306)

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

open access: yesAdvanced Robotics Research, EarlyView.
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 Adaptive Interaction Network for RGB-D Saliency Detection

open access: yesApplied Sciences
The salient object detection (SOD) task aims to automatically detect the most prominent areas observed by the human eye in an image. Since RGB images and depth images contain different information, how to effectively integrate cross-modal features in the
Qinsheng Du   +4 more
doaj   +1 more source

Estimating Pavement Roughness by Fusing Color and Depth Data Obtained from an Inexpensive RGB-D Sensor

open access: yesSensors, 2019
Measuring pavement roughness and detecting pavement surface defects are two of the most important tasks in pavement management. While existing pavement roughness measurement approaches are expensive, the primary aim of this paper is to use a cost ...
Ahmadreza Mahmoudzadeh   +3 more
doaj   +1 more source

Fusion of Dual RGB-D Sensors for Mobile Robot SLAM

open access: yes, 2017
移动机器人在执行给定的任务时,需要通过传感器获取环境信息,从而构建地图、定位并在环境中自主运动。RGB-D传感器能够以较低的成本提供环境的色彩与深度信息,得到了广泛的应用,但是其存在视野受限的问题。为此,本文提出了一种面向移动机器人SLAM的双RGB-D传感器数据融合方法,对双RGB-D传感器的数据流进行同步处理,实时构建环境点云地图,并融合多视角RGB信息在线构建全景图。然后,将这一方法应用于室内环境下移动机器人SLAM与运动控制任务。实验表明,本文的双RGB ...
徐昌, 王石荣, 于宁波
core  

Compressive Temporal RGB-D Imaging

open access: yes, 2017
We report a compressive imaging system for high-speed color (RGB) video and range sensing based on the structured illumination. Random patterns are projected on the scene at a higher frame rate than that of the color camera.
Yuan, Xin   +5 more
core   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

open access: yesAdvanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki   +2 more
wiley   +1 more source

Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation

open access: yesAdvanced 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

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

open access: yesAdvanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith   +4 more
wiley   +1 more source

Invariant Observer-Based State Estimation for Micro-Aerial Vehicles in GPS-Denied Indoor Environments Using an RGB-D Camera and MEMS Inertial Sensors

open access: yesMicromachines, 2015
This paper presents a non-linear state observer-based integrated navigation scheme for estimating the attitude, position and velocity of micro aerial vehicles (MAV) operating in GPS-denied indoor environments, using the measurements from low-cost MEMS ...
Dachuan Li   +5 more
doaj   +1 more source

Cascading attention enhancement network for RGB-D indoor scene segmentation

open access: yes
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

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