Roboception’s products are vital components of the innovative solutions our customers and partners develop – among them are:
Roboception is actively engaged in research and innovation, cooperates with Universities and
Research Institutions and – as a part of SPARC – is involved in strengthening the robotic competences across Europe. In addition to actively coordinating the Topic Group “Perception” within SPARC, Roboception is involved in publicly funded projects on national (BFS, BMWi, BMBF) and European level.
[01/2021-12/2025] ODIN: With funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 101017141, the project aims to strengthen the EU production companies’ trust in utilizing advanced robotics by demonstrating that novel robot-based production systems are not only technically feasible but also efficient and sustainable for immediate introduction at the shopfloor.
[11/2020-04/2025] KI5GRob: KI5GRob addresses in a new way how machine learning can be efficiently used in robotics by tightly linking cloud technologies and robotics in a tight control loop, and how the concept pursued can fundamentally simplify the programming and maintenance of robotic systems.
[03/2021-02/2025] 5gsmartfact: With funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie Grant Agreement ID 956670, this project (Future Wireless Connected and Automated Industry Enabled by 5G) is to study, develop, optimize and assess the deployment of 5G networks factory environments and automation applications.
[01/2020-12/2023] RoMaFo: Supported by the Bavarian Ministry of Economic Affairs, Regional Development and Energy (StMWi), the consortium is working towards a robotic assistant system and machine vision for the assembly of unstable components in customer-individual products.
[10/2020-09/2023] RobIn4LeMi: Robot-supported interaction systems for performance-impaired employees, funded by the Bavarian State Ministry of Economic Affairs, Regional Development and Energy.
[09/2020-08/2023] KoARob: Robot-based assistance systems or cobots without separating protective equipment are becoming increasingly important in production. For personnel safety during operation, a few special safety-oriented sensors will be used to divide the area around the robot system into different, rough zones. As soon as a person enters a zone, the robot is slowed down or stopped completely. The goal of the project is to develop concepts and coordinated evaluation electronics that make it possible to combine a wide range of sensors, measurement processes and AI methods into a safety-oriented sensor system. The aim is to enable robots to be operated more cost-effectively and efficiently, yet safely in the human workspace.
[04/2020-03/2022] KI4MRK: Roboception is the coordinator of this project, funded by the Federal Ministry of Education and Research (BMBF). Its objective is the development of human motion prediction using a combination of three deep neural networks (NN).
Projects Completed Successfully
RoPHA: Robust perception capabilities for robots to support elderly users in a home environment, funded by the German Federal Ministry of Education and Research (BMBF).
THOMAS: Mobile dual arm robotic workers with embedded cognition for hybrid and dynamically reconfigurable manufacturing systems, funded under the project number 723616 within the Horizon 2020 FoF2 – 2016 programme.
FOR3D: Pace-keeping 3D-reconstruction and analysis (Schritthaltende 3D-Rekonstruktion und -Analyse), funded by the Bavarian Science Foundation (BFS).
FORobotics: Mobile, ad-hoc cooperating robot teams (Mobile, ad-hoc kooperierende Roboterteams), funded by the Bavarian Science Foundation (BFS).
Roboception is actively engaged in research and innovation. For that reason, we are creating publicly available data sets.
Synthetic dataset for learning parallel-jaw grasping from stereo images: includes 4 different datasets, with automatically labelled training data for predicting parallel jaw grasps from stereo-matched depth images. For more details, please refer to the publication:
“Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images”
Justus Drögemüller, Carlos X. Garcia, Elena Gambaro, Michael Suppa, Jochen Steil, Maximo A. Roa.
Proc. IEEE Int Conf. On Advanced Robotics (ICAR), 2021.
Roboception is regularly selected to host a workshop at the European Robotics Forum. Together with guests from research and industry we present and discuss the latest developments in 3D perception for robots.
During the ERF 2022 (28.-30. June), our workshop “Applied AI in Agile Production, Logistics, and Lab Automation” takes place on June 28th at 16.10 hrs in room ‘Dock 14’. More…
During the digital ERF 2021 (13.-15. April), our workshop “Towards applied AI in agile production, logistics, and lab automation” took place on April 14th. More…
At the ERF in Malaga, Roboception was again part of the programme: The workshop “AppliedAI in Agile Production” took place on March 4th, 16:15-17:45. The 2020 ERF took place in Malaga, Spain on March 3rd to 5th. Read more…
Roboception organized a workshop on March 21st, 2019 together with TU Vienna and IK4-Tekniker at the European Robotics Forum (ERF 2019), which took place on March 20th to 21st, 2019 in Bucharest/Romania. Read more…
Roboception organized a workshop on March 15th, 2018 together with TU Munich, University of Bremen and Unversity of Orebrö at the European Robotics Forum (ERF 2018), which took place on March 13th to March 16th, 2018 in Tampere/Finnland. Read more…
Roboception organized a workshop on March 23rd, 2017 together with TU Munich, University of Bremen, and Unversity of Orebrö at the European Robotics Forum (ERF 2017), which took place on March 22nd to 24th, 2017, in Edinburgh. Read more…
Roboception organized a workshop together with TU Munich and Unversity of Orebrö at the European Robotics Forum (ERF 2016), which took place on March 21st to 23rd, 2016, in Ljubljana, Slovenia. Read more…
Roboception is proud to regularly provide demo products for testing and development purposes to research facilities such as: