Prof. Jadran Lenarcic, Ph.D.
Opening Address from the Founder of RAAD
Dr. Arne Wahrburg
Principal Scientist at ABB, Darmstadt, Hesse, Germany
Trash or treasure? On AI in industrial robotics (and why we still need mechatronics)
Robot Learning has been a very active field of research in recent years with a lot of impressive scientific results especially in the application of reinforcement learning to robotic tasks. From an industrial perspective, the rapid scientific developments in Robot Learning come with a number of promises including reduced commissioning times, simplified programming, increased productivity and cost reduction. This talk attempts to put the potential of this promising but in the media sometimes hyped technology to perspective by matching it to industrial requirements. Key challenges and opportunities on how to potentially tackle them are presented, and potential synergies with “conventional” mechatronic approaches are highlighted.
DI Mike Mayer
Global Key Account Manager at SCHUNK GmbH & Co.KG
What it means to build smart grasping services
The trend of intelligent components is one of the most influencing topics in the actual development of components for robotic and automation processes. Products are not only pure components anymore but become solutions for applications and tasks with robots. The integration of cameras and other sensors help to provide insights about the handling and machining process. The handling and processing of these information enables to provide new smart and autonomous services. The keys to these services are algorithms and machine learning algorithms for image and sensor signal analysis. So new technologies like smart grasping, easy2use and self-learning devices or autonomous milling are examples of outcomes of these efforts which lead to new perspective in robotics.
Prof. Bruno Siciliano
Robot Manipulation and Control
This talk presents the most recent research @ PRISMA Lab on robot manipulation and control. The talk is organized in four parts. In the first part, aerial and dynamic manipulation are surveyed along with the main results achieved on modelling, planning, perception and control. The second part of the talk focuses on how to merge learning and model-based strategies to provide autonomy to robotic manipulation. In the third part of the talk, anthropomorphic tools for robotics and prosthetics are presented, requiring advanced sensorimotor skills to reproduce human’s manipulation abilities. The fourth part of the talk deals with human-friendly robots and recent advances on shared control during interaction with soft objects with emphasis on a surgical scenario.