High-level programming and control for industrial robotics: using a hand-held accelerometer-based input device for gesture and posture recognition
Pedro Neto, Norberto Pires, Paulo Moreira

TL;DR
This paper introduces a user-friendly robotic programming system that uses gesture and speech recognition via a handheld accelerometer device, making robot instruction accessible to non-experts and improving efficiency.
Contribution
It presents a novel, practical method for robot programming through intuitive human interfaces, utilizing accelerometer-based gesture recognition and neural networks.
Findings
Gesture and posture recognition achieved with high accuracy.
System enables non-experts to program robots intuitively.
Improves efficiency and reduces programming time.
Abstract
Purpose - Most industrial robots are still programmed using the typical teaching process, through the use of the robot teach pendant. This is a tedious and time-consuming task that requires some technical expertise, and hence new approaches to robot programming are required. The purpose of this paper is to present a robotic system that allows users to instruct and program a robot with a high-level of abstraction from the robot language. Design/methodology/approach - The paper presents in detail a robotic system that allows users, especially non-expert programmers, to instruct and program a robot just showing it what it should do, in an intuitive way. This is done using the two most natural human interfaces (gestures and speech), a force control system and several code generation techniques. Special attention will be given to the recognition of gestures, where the data extracted from a…
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