Maarten Jongeneel Email & Phone Number | Ambitious and inquisitive Mechanical Engineer with experience in software development, modeling, mechanical design, testing, and data analysis for advanced high-tech and robotic applications. My current focus is on the development of impact-aware robotics for logistic applications within the H2020 European Project on Impact Aware Manipulation (I.AM.). This project focuses on exploiting torque controlled robots in logistic applications to improve throughput with up to 10%. I am responsible for modeling/validation of impact models for known robots and objects from motion capture and robot proprioception sensor data. These models will serve as the basis to the envisioned impact-aware planning, learning, control, and sensing robot modules, with the focus on three scenarios: tossing, boxing, and grabbing of objects.

Maarten Jongeneel

Ambitious and inquisitive Mechanical Engineer with experience in software development, modeling, mec...
Eindhoven, Eindhoven, Netherlands

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Maarten Jongeneel’s Email m.jongeneel@tue.nl

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Maarten Jongeneel’s Location Eindhoven, Eindhoven, Netherlands

Maarten Jongeneel’s Current Industry Technische Universiteit Eindhoven

Maarten Jongeneel’s Prior Industry Prodrive Technologies | Spectrum Brabant

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PhD Council Member

2023-05-01 00:00:00 - Present

Design Engineer

2018-02-01 00:00:00 - 2020-06-01 00:00:00

Huiswerkbegeleider

2017-01-01 00:00:00 - 2018-01-01 00:00:00

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Maarten Jongeneel is a Ambitious and inquisitive Mechanical Engineer with experience in software development, modeling, mechanical design, testing, and data analysis for advanced high-tech and robotic applications. My current focus is on the development of impact-aware robotics for logistic applications within the H2020 European Project on Impact Aware Manipulation (I.AM.). This project focuses on exploiting torque controlled robots in logistic applications to improve throughput with up to 10%. I am responsible for modeling/validation of impact models for known robots and objects from motion capture and robot proprioception sensor data. These models will serve as the basis to the envisioned impact-aware planning, learning, control, and sensing robot modules, with the focus on three scenarios: tossing, boxing, and grabbing of objects.