Results 151 to 160 of about 20,190 (304)
Camera Absolute Pose Estimation Using Hierarchical Attention in Multi-Scene
The multi-scene camera pose estimation approach aims to recover the camera pose from any given scene, catering to the demands of real-life mobile devices to perform tasks.
Xinhua Lu +4 more
doaj +1 more source
Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models
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
LLM‐Integrated Human–Robot Interaction System for Microrobots
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
D-3D Model Correspondence for Camera Pose
Augmented reality requires accurate position and orientation estimates of a camera. In our approach inertial and visual data are fused using the conditional probability framework to estimate camera pose.
Jeroen Hol +2 more
core
Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou +4 more
wiley +1 more source
EPOCH: Jointly Estimating the 3D Pose of Cameras and Humans
Monocular Human Pose Estimation (HPE) aims at determining the 3D positions of human joints from a single 2D image captured by a camera. However, a single 2D point in the image may correspond to multiple points in 3D space. Typically, the uniqueness of the 2D-3D relationship is approximated using an orthographic or weak-perspective camera model. In this
Nicola Garau +4 more
openaire +3 more sources
Miniaturized Magnetic Tip Design for Endoluminal Vine Robot Navigation
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
Analysis of pose estimation methods based on ArUco markers and OptiTrack vision system
openL’accurata stima della posizione di un corpo é cruciale in vari campi e spesso coinvolge l’uso di sistemi di Motion Capture. Recentemente, si é assistito ad un forte sviluppo di questa tecnologia, in particolare nei sistemi basati su telecamere ...
CORRATA, DAVIDE
core
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich +4 more
wiley +1 more source
Unaided stereo vision based pose estimation
This paper presents the development of a low-cost sensor platform for use in ground-based visual pose estimation and scene mapping tasks. We seek to develop a technical solution using low-cost vision hardware that allows us to accurately estimate robot ...
McKinnon, David +6 more
core

