Für den Inhalt der Angaben zeichnet die Projektleitung verantwortlich.
Dieses von der Gebert Rüf Stiftung geförderte Projekt wird von folgenden weiteren Projektpartnern mitgetragen: Sevensense Robotics AG, Wyss Zurich, NCCR Robotics, ESA Business Incubation Center, Venture Kick
Förderbeitrag: CHF 296'000
Dauer: 02.2019 - 08.2020
Handlungsfeld: Pilotprojekte, 1998 - 2018
PhD Gregory Hitz
8092 Zürich (Schweiz)
Mobile robots have the potential to bring disruptive changes to our everyday lives. However, to be able to move autonomously not only behind closed doors of factories, they need to be able to interact with other moving systems and, more importantly, with people. They need to react appropriately and socially compliant, such that they do not interfere or scare people around them.
In this project we will develop a compliance-driven navigation framework that will allow robots to become compliant in dynamic environments. For we will look at the problem holistically, from the sensors that perceive the robot’s surroundings, to the control strategy that will guide it through public spaces.
Was ist das Besondere an diesem Projekt?
Mobile robots have brought significant increase in efficiency and effectiveness to several industries. For our everyday life, this also had an impact, even though it mostly happened behind the closed doors of ware houses and logistics centers. It is largely due to the efficiency that robots brought to ware houses, that we can conveniently order most products online and expect them at our door step the following day.
Within this project we will enable such mobile robotic systems to work safely in areas that are not completely inaccessible to humans. In fact, many industries and applications could benefit from the capabilities of mobile robots. Imagine robotic cleaning machines or delivery robots, that work seamlessly in crowded areas such as airports. However, to enable such machines to work safely and efficiently among humans, they need to become compliant with human interaction. They need to be able to move through crowded areas while not disturbing the people around them. Furthermore, they need to be able to navigate in complex environments and need to have an efficient and robust way to measure their own position in space. In this project visual Simultaneous Localization and Mapping (SLAM) technologies will be developed which give these robotic systems the flexibility they need.
The project starts with all the cooperating partners from Wyss Zurich and Sevensense Robotics AG, to jointly define the specifications for the sensory system that will be employed on the system. Then the team will work on bringing the sensory data together and develop a holistic interpretation of all the available data, based on which the robot will take its decisions. The result will be a prototype of a complete sensory system, which is ready to be tested by Q3 of 2019.
G. Cesari, G. Schildbach, A. Carvalho, and F. Borrelli, “Scenario model predictive control for lane change assistance and autonomous driving on highways”, Intelligent Transportation Systems Magazine, vol. 9, no. 3, pp. 23–35, 2017;
G. Hitz, E. Galceran, M.-E. Garneau, F. Pomerleau, and R. Siegwart, “Adaptive continuous- space informative path planning for online environmental monitoring”,Journal of Field Robotics, 2016.
Am Projekt beteiligte Personen
Letzte Aktualisierung dieser Projektdarstellung 15.04.2019