Open Lab Event. Thursday, November 24, Demo Stations Building Floor Room Time
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1 Thursday, November 24, 2016 Opening 18:00, ML E 12 Pick the Demo Stations you would like to see. Demo Stations Building Floor Room Time 18:30 18:50 19:10 19:30 Cubli & Flying Platform ML J 37.1 x x x x Flying Machine Arena ML E FMA x x x x Distributed Flight Array ML K 31 x x Crazyflie ML K 31 x x Battery-Assisted Trolley Bus ML K 39 x x x x Formula 1 Power Unit ML K 37.1 x x x x Diesel-Ignited Natural Gas Engine ML E 44 x x x x Heavy-Duty Diesel Engines ML D 44 x x x x Aladin ML D 44 x x x x Learning and Human Interaction in Control ML K 40.1 x x x x Multi-agent Systems and Energy Networks ML K 38 x x x x Autonomous Mobility on Demand Systems & High Performance Motion Planning Algorithms ML K 43 x x x x
2 Demo Stations Prof. R. D Andrea Cubli A 15 x 15 cm cube that can jump up and balance on a corner, using reaction wheels mounted on three of its faces. (Presentations in English) Michael Mühlebach, michaemu@ethz.ch Flying Platform The Flying Platform consists of three fan units equipped with a thrust vectoring mechanism and serves as a testbed for new model predictive control algorithms. (Presentations in English and German) Michael Mühlebach, michaemu@ethz.ch Flying Machine Arena An indoor space built specifically for autonomous systems research. Current projects focus on control, high-precision maneuvers, high-precision flight, physical interaction, and novel vehicles. (Presentations in English) Dario Brescianini, bdario@ethz.ch Robin Ritz, rritz@ethz.ch Rajan Gill, rgill@ethz.ch Anton Ledergerber, antonl@ethz.ch Weixuan Zhang, wzhang@ethz.ch Distributed Flight Array The Distributed Flight Array is a modular robot consisting of multiple units that can drive around on the ground, self-assemble, and when assembled fly in a coordinated fashion. (Presentations in English) Max Kriegleder, krmax@ethz.ch Crazyflie The Crazyflie is a micro-quadrocopter, and is used as a platform for research on machine learning, swarm control and human-computer interaction. In this session, we demonstrate some recent research results. (Presentation in English) Michael Hamer, hamerm@ethz.ch
3 Demo Stations Prof. C. Onder Battery-Assisted Trolley Bus Replacing the Diesel-powered auxiliary power unit with a high-performance traction battery enables driving without overhead wires, increases the overall energy efficiency and reduces peak loads on the electricity grid. (Presentations in English or German) Andreas Ritter, anritter@idsc.mavt.ethz.ch Micha Güdel, guedelmi@idsc.mavt.ethz.ch Formula 1 Power Unit Efficient control algorithms are designed for the hybrid electric propulsion system of the Formula 1 car, in order to achieve the fastest possible lap-time. (Presentations in English or German) Mauro Salazar, maurosalazar@idsc.mavt.ethz.ch Camillo Balerna, balernac@idsc.mavt.ethz.ch Diesel-Ignited Natural Gas Engine Combining the advantages of two different types of fuel is a promising approach for lowering CO2 emissions in car engines. (Presentations in English or German) Richard Hutter, rihutter@idsc.mavt.ethz.ch Johannes Ritzmann, jritzman@idsc.mavt.ethz.ch Heavy-Duty Diesel Engines Fulfilling the latest Diesel emission regulation with the selective catalytic reduction system. (Presentations in English or German) Stijn van Dooren, stijnva@ethz.ch Philipp Elbert, elbertp@ethz.ch Aladin A highly efficient near zero-emission micro combined heat and power plant using natural gas. (Presentations in English or German) Tammo Zobel, tzobel@idsc.mavt.ethz.ch Christian Schürch, schuercc@lav.mavt.ethz.ch
4 Demo Stations Profs. M. Zeilinger/E. Frazzoli Learning and Human Interaction in Control Platzhalter für Bild, 3.3 x 3.3cm New sensing capabilities enable control systems to learn from online data. Current projects explore how systems can adapt safely to their environment and changing requirements, or to human interaction. (Presentations in English) Lukas Hewing, lhewing@ethz.ch Marcel Menner, mmenner@ethz.ch Multi-agent Systems and Energy Networks Dynamical systems are often not just isolated entities but interact with other systems, for example electric vehicles, where coordinated charging can help stabilizing the power grid. We develop model-based methods that address uncertain and changing interconnections for multi-agent systems to solve this and similar problems. (Presentations in English) Rie B. Larsen, larsenr@ethz.ch Autonomous Mobility on Demand Systems Autonomous mobility on demand systems are one-way rental systems in which autonomous vehicles pick up customers from a desired location and drop them at their destination. The control of these systems includes many challenges ranging from the optimal matching of empty vehicles to customer requests, congestion aware fleet routing and rebalancing of empty vehicles. (Presentations in English) Claudio Ruch, clruch@idsc.mavt.ethz.ch High Performance Motion Planning Algorithms Bring theory to practice by integrating state of the art planning and perception algorithms on a mobile robotic platform. (Presentations in English) Brian Paden, padenb@idsc.mavt.ethz.ch
5 Situation plan Thursday, November 24, 2016 Directions by tram The IDSC is located downtown Zurich about 10 min from the main train station by tram or with the Polybahn (12 min by foot). Take the number 6 or 10 tram to ETH/Universitätsspital, or take the Polybahn from Central to Polyterrasse.
Demo Stations Building Floor Room Time. ML K 40.1 Multi-agent Systems and Energy Networks. ML K 38 Autonomous Mobility on Demand Systems
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