Robotics arkistot - Robocoast EDIH

23.4.2025

Published by Petri Salo at 23.4.2025

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Koneoppimisen hyödyntäminen erilaisissa tehtävissä – JYU

Tällä lyhytkoulutusvideolla Jyväskylän yliopiston signaalinkäsittelyn apulaisprofessori, tekniikan tohtori Jenni Raitoharju kertoo koneoppimismenetelmien hyödyntämisestä erilaisissa tehtävissä konkreettisin esimerkein.

22.1.2025

Published by Elina Salla at 22.1.2025

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Modern Robotics – Collaborative (Self-paced)

Empower Your Future with Robotics: Learn Anytime, Anywhere! Unlock the future with our Modern Robotics course! Dive into the fundamentals of robotics, mastering essential concepts that […]

18.12.2024

Published by Nadia Kuisma at 18.12.2024

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Introduction to Collaborative Robots

Category: scheduled training Location: online Language: English Date: 27th, 28th, 29th of May 2025 Time: 09-12.00 (Helsinki time) 27.05.2025 Introduction of Collaborative Robots 28.05.2025 Supporting Technology 29.05.2025 Use […]

12.12.2024

Published by Mari Murto at 12.12.2024

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Online trajectory generation for industrial robot with 3D camera

Module offers a flexible and adaptive way of generating robot trajectories for human-robot collaboration based on information from 3D-camera(s). Module can be utilized in example with […]

12.12.2024

Published by Mari Murto at 12.12.2024

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Safe human detection in a collaborative work cell

Safety scanners and cameras provide an effective way of detecting human workers in a robot cell. This enables human workers and robots to work safely together […]

11.12.2024

Published by Mari Murto at 11.12.2024

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Digital Design Content Based Robot Trajectory Generation

This module presents one way of integrating data necessary for robotized production into design data at very early phase of design. By integrating data necessary for […]

5.12.2024

Published by Heidi Kaartinen at 5.12.2024

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Dynamic Online Trajectory Generation for Industrial Robot with 3D Camera

Module offers a flexible and adaptive way of generating robot trajectories for human-robot collaboration based on information from 3D-camera(s). Module can be utilized in example with […]