Adaptive FPGA-Based Accelerators for Human–Robot Interaction in Indoor Environments

Adaptive FPGA-Based Accelerators for Human–Robot Interaction in Indoor Environments

This study addresses the challenges of human–robot interactions in real-time environments with adaptive field-programmable gate array (FPGA)-based accelerators. Predicting human posture in indoor environments in confined areas is a significant challenge for service robots. The proposed approach work...

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Bibliographic Details
Main Authors: Mangali Sravanthi, Sravan Kumar Gunturi, Mangali Chinna Chinnaiah, Siew-Kei Lam, G. Divya Vani, Mudasar Basha, Narambhatla Janardhan, Dodde Hari Krishna, Sanjay Dubey
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Sensors
Subjects:
posture recognition
localization
FPGA
service robot
sensor fusion
Online Access:https://www.mdpi.com/1424-8220/24/21/6986
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