High-level robot programming based on CAD: dealing with unpredictable environments
Pedro Neto, Nuno Mendes, Ricardo Ara\'ujo, J. Norberto Pires, A. Paulo, Moreira

TL;DR
This paper introduces a CAD-based human-robot interface enabling non-experts to teach robots using CAD drawings, with sensory feedback to handle uncertainties, simplifying robot programming in manufacturing environments.
Contribution
It presents a novel CAD-based robot programming system that generates robot programs directly from CAD drawings without needing advanced robot programming skills.
Findings
Robot programs can be generated from CAD drawings without calibration issues.
The system effectively handles uncertainties during robot operation.
It offers a low-cost, easy-to-use alternative to traditional robot programming methods.
Abstract
Purpose - The purpose of this paper is to present a CAD-based human-robot interface that allows non-expert users to teach a robot in a manner similar to that used by human beings to teach each other. Design/methodology/approach - Intuitive robot programming is achieved by using CAD drawings to generate robot programs off-line. Sensory feedback allows minimization of the effects of uncertainty, providing information to adjust the robot paths during robot operation. Findings - It was found that it is possible to generate a robot program from a common CAD drawing and run it without any major concerns about calibration or CAD model accuracy. Research limitations/implications - A limitation of the proposed system has to do with the fact that it was designed to be used for particular technological applications. Practical implications - Since most manufacturing companies have CAD…
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