19.11.2019

HRC Forum 2019

New concepts and technologies for collaborative robots: On November 19, 2019, a forum on collaborative robots will take place for small and medium-sized companies at the FZI.

The collaborative screw assembly was already presented to interested experts by the FZI at Motek in October 2018.

The digitalisation was the pioneer for innovations of the industry in the recent years. In this context, collaborative robots are moving into the centre of development as flexible backbone of the Industry 4.0. The difficulties previously associated with the use of robots and the new obstacles in the use of collaborative robots are topics of this year's HRC forum. At the HRC forum, various speakers will share their ideas and experiences in dealing with collaborative robots.

We cordially invite you to join the discussion about new obstacles and solutions for collaborative robotics. Various research topics are united under one roof at the FZI House of Living Labs. In the framework of the forum, we will guide you through our laboratories, where you can experience collaborative robotics up close.


Programme – Tuesday November 19, 2019

10:00 a.m.

Welcoming and introduction

10:15 a.m.

"Cobots everywhere !?“
Arne Rönnau | Manager of the FZI Living Lab Service Robotics, FZI

10:45 a.m.

 "Engineering Collaborative Humanoids"
 Tamim Asfour | Professor for Humanoid Robot Systems, KIT

11:15 a.m. 

Coffee break

11:35 a.m.

"MRK: It’s time for standards - Die Notwendigkeit eines einheitlichen Messverfahrens zur Bestimmung der in der ISO TS 15066 aufgeführten Grenzwerte“ (HRC: It's time for standards - The necessity of a standardised measurement method for the determination of limiting values specified in ISO TS 15066)
Christoph Pratter | Manager Robot Safety, PILZ GmbH  & Co. KG

12:05 p.m.

"Co-act Greifer 2.0 – Kollaborierendes Greifen mit hohen Werkstückgewichten"
 (Co-act grippers 2.0 – Collaborative gripping with high workpiece weights) Benedikt Janßen | Director Product Line Collaborative Gripping, SCHUNK GmbH & Co. KG

12:35 p.m.

 Lunch at the FZI Living Lab

01:20 p.m.

 Interactive robot demonstrations at the FZI Living Lab

02:00 p.m.

"Vereinfachte Automation mit Cobots durch innovative Vakuumgreifsysteme"
 (simplified automation with cobots through innovative vacuum gripping systems) Aline Defranceski |  Business Development, Vacuum Automation, J. Schmalz GmbH

02:30 p.m.

"DMVS: Dynamic Machine Vision Sensor for robots and inline inspection"
Oliver Zweigle | Director Product Development Labs, FARO Europe GmbH

03:00 p.m.

Coffee break 

03:20 p.m.

"Cartesian controllers for intuitive interaction"
Stefan Scherzinger | Research Scientist in the department Interactive Diagnosis and Service Systems, FZI

03:50 p.m.

Panel discussion and conclusion

05:00 p.m. End of the event

Registration

The event is free, please register under the following link: Registration


Interactive robot demonstrations at the FZI Living Lab

Semi-virtual planning and validation of innovative robot applications

Fast planning and programming of robot applications using VR and AR

The aim of the project Sim2Log is to improve automation solutions in the logistics sector. The research project and TruPhysics GmbH aim at providing laymen with the opportunity to quickly plan, programme, validate and transfer new robot applications into the application. Using virtual and augmented reality, parts or concrete solutions are planned, programmed and tested with virtual robots as well as adjusted to the challenges of the individuals. Virtual, prefabricated logistics modules in VR and AR simulation environments enable an intuitive development of the environment, in which users can evaluate the general feasibility and performance. In order to determine the cycle times and to simulate the entire process, adjustments can be made. The developed solutions can be directly transferred to real robots, which reduces the time to market and programming costs significantly.

 

Intelligent robots in additive manufacturing

The combination of lightweight robots and additive manufacturing enables the flexible manufacturing of the future!

The combination of lightweight robots and additive manufacturing enables the flexible manufacturing of the future! Flexible lightweight robots as well as the additive manufacturing are pioneering and revolutionise currently traditional manufacturing processes. Both technologies have so far been used separately and their advantages have not been combined.

The FZI shows in the demonstrator, how the manual work can be reduced in additive manufacturing by means of latest automation technologies. Various 3D printers produce the products. A UR10 robot examines the systems during the printing process for typical errors like Warping or Nozzle Clocking. The robot automatically unloads the printed object after a successful print. The next order can now be started.

 

AI-supported, collaborative assembly of complex, mechatronic modules.

In the demonstrator "AI-supported assembly" the advantages of intelligent software components is presented in a dynamic automation application by an example of the assembly of a module. By means of an AI-based vision system, arbitrarily adjustable components can be classified and located.  Hereby, the next object necessary for the assembly sequence is identified and gripped by the robot.

 

Robust navigation in dynamic environments based on open source SLAM processes

Meanwhile there are various, proficient SLAM processes as open source packages that allow the continuous mapping of unknown environments and capture the own vehicle position at the same time. The FZI already uses these SLAM processes very successfully on various mobile robot platforms (HoLLiE, fetch, TurtleBot, ...). Besides the adjustments for the particular vehicles, the FZI also supports in the development of navigation methods for the collision-free path planning also in dynamic environments. Experience at the FZI how the various platforms reliably find their way as well as how easy they can be operated via a tablet and follow the user at every turn (follow me function).

 

AI-based, intelligent protective field for the collaborative screw assembly

In this collaborative screw application, humans and robots work hand in hand. The positions of the freely positioned components are automatically recognised. As soon as a technician inserts a screw, it will be marked for the screwdriver of the robot as a task. Thanks to a 3D collision prevention, the robot arm always approaches and screws the screw next to it. By means of deep neuronal networks, the system is able to detect whether an authorised and trained technician, an unauthorised person or nobody is in the working area. The movement speed of the robot is adjusted at the same time, in order to safeguard the safety of the user.

 

Vulnerability of insufficiently safeguarded communication in ROS

The demonstrator presents the scenario "AI-based recognition and classification of screws by means of a deep neural network." Exemplary, best practices for the use of the open source frameworks ROS2 are presented in this. Moreover, the demonstrator shows the issues of a lacking safeguarding in a network on the concrete example of a man-in-the-middle attack with direct effect on the classification. Through the use of previously integrated protective mechanisms, based on the best practices, it is presented how the existing risk can be drastically reduced with minimal effort.

 

Dynamic sorting of conveyed goods on the line by means of AI vision

Monotone sorting applications on conveyor belts are exhausting, boring and strenuous for humans. In some cases, this is even accompanied by certain health burdens, e.g. working with old batteries. Robots, on the contrary, can utilise their strengths entirely. At the FZI Research Center for Information Technology research is conducted, in order to make automated sorting more intelligent. Latest AI methods in the field of visual image recognition provide more flexibility concerning the possible conveyed goods. Thus, contaminated or deformed goods can also be correctly classified. After a short learning phase, the system takes over the sorting process completely. With a versatilely designable sorting line, the robot number, gripper types and sensor components can be optimally combined, in order to carry out the current sorting application.

 

intelliRISK VR

Confident, autonomous robots through intelligent risk assessment

Planetary exploration is one of the greatest challenges of robotics due to significant communication delay and extreme environmental conditions. In order to ensured that all actions are safe, they are first tested on Earth and transferred, so that only a few actions per day are possible. In the research project "intelliRISK" a system is developed, which enables the robots to independently and actively assess internal and external risks. In planetary exploration missions, robots are thus supposed to autonomously make risk-aware decisions. In order to support the Mission Control Team, an interactive virtual reality environment was developed that makes risks and conditions of the robot visible. It is thus possible to quickly identify problems in the robot but also dangers from the environment, without having to be on site. The VR environment as well as our exploration robot LAURON V can be visited at our robotics laboratory.

 

Adaptive human-robot interaction for the support of ALS patients

In the project ROBINA, an innovative adaptive human-technology interaction concept is being developed for commanding a lightweight robot to support persons in need of care with severe motoric disabilities.  The robot system adapts itself during the course of the disease to the user, from initial motoric disabilities to severe paralysis, and supports the patient through an adaptive input concept (from touch to eye control). The robot currently supports three scenarios in particular: scratching the upper arm, serving beverages or handing over objects like a remote control. For this purpose, the system was extended with additional sensors and AI vision concepts, which make the system highly adaptive.

And many further, current research works around the field of Robotics and HRC

 

You can find the route description here: How to reach us


 

Event details

Date
19. November 2019 - 19. November 2019, 10:00 - 16:00
Event location
FZI House of Living Labs
FZI Forschungszentrum Informatik
Haid-und-Neu-Str. 5a
76131 Karlsruhe
Contact person
Arne Rönnau