1 citations · 1 across the 4 of their papers we have counts for
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Bootstrapping Self-Supervised Learning of Binary Classification Using Error Bounds: A Case Study on a Robotic Insertion Task
Zebin Duan, Norbert Krüger, Juan Heredia +2
Flexible manufacturing requires rapid deployment of solutions and minimal setup time to remain competitive. An essential attribute is the ability to control error levels, as failur…
Towards High Precision: An Adaptive Self-Supervised Learning Framework for Force-Based Verification
Zebin Duan, Frederik Hagelskjær, Aljaz Kramberger +2
The automation of robotic tasks requires high precision and adaptability, particularly in force-based operations such as insertions. Traditional learning-based approaches either re…
Evaluating Robot Program Performance with Power Consumption Driven Metrics in Lightweight Industrial Robots
Juan Heredia, Emil Stubbe Kolvig-Raun, Sune Lundo Sorensen +1
The code performance of industrial robots is typically analyzed through CPU metrics, which overlook the physical impact of code on robot behavior. This study introduces a novel fra…
EcBot: Data-Driven Energy Consumption Open-Source MATLAB Library for Manipulators
Juan Heredia, Christian Schlette, Mikkel Baun Kjærgaard
Existing literature proposes models for estimating the electrical power of manipulators, yet two primary limitations prevail. First, most models are predominantly tested using trad…