Ovaj odjel zanima se za teme iz područja teorije i primjene robotike i automatizacije. Pod robotikom se ovdje prvenstveno podrazumijeva zanimanje za inteligentne strojeve i sustave korištene, na primjer, u istraživanju okoliša (podmorja, svemira), pružanju usluga ljudima, ili u naprednoj proizvodnji. Pod automatizacijom se prvenstveno podrazumijeva zanimanje za primjenu automatizacijskih metoda i postupaka u tvornicama, uredima, kućanstvima ili, na primjer, u transportnim sustavima s ciljem povećanja njihove djelotvornosti i produktivnosti.
Odjel za robotiku i automatizaciju
"Heterogeneous Adaptive Maritime Mobile Expeditionary Robots"
kojeg će održati Dr. Vladimir Djapic, SPAWAR Systems Center - Pacific, Unmanned Maritime Vehicles Lab (USA).
Predavanje će se održati u ponedjeljak, 23. svibnja 2016. s početkom u 14:00 sati u Sivoj vijećnici na Fakultetu elektrotehnike i računarstva.
Više o predavaču i predavanju možete naći u nastavku obavijesti i ovdje.
For the ONR-funded Heterogeneous Adaptive Maritime Mobile Expeditionary Robots (HAMMER) project, we work on cooperative autonomy for a fleet of unmanned vehicles working together in the aerial, water surface, and underwater domains. Each of these systems work well independently, but our goal is to integrate their performance into one system of vehicles that can safely perform cooperative tasks. The challenges we are working on include creating reliable communications links between vehicles in the harsh low bandwidth maritime environment, integrating novel onboard sensors and inter-vehicle communication to create filters to estimate the state of the network, and creating autonomous takeoff-and-landing algorithms between the aerial/underwater vehicles and the surface "mothership" vehicle. The surface vehicle is envisioned to be capable of transporting the aerial and underwater vehicles as well as providing mission-lengthening power. Possible applications of this system include automated deployment and recovery of data-collecting unmanned underwater vehicles and an ad hoc wireless network where the aerial vehicle relays time-sensitive data collected from the surface or underwater vehicle to a human on a ship many miles away. In a separate but related project, we are also determining human-autonomy teaming required for future Naval programs, assessing the state-of-the-art algorithms, and creating open challenge problems to academia to fill gaps based on the Navy's need.
Despite longstanding effort, COTS UAVs, UUVs and USVs are still limited in their capabilities by battery life, challenging communication, and their ability to know their location in space in GNSS -denied situations. Also, even though microprocessor, sensor, and battery technology will continue to improve drastically in the future, the energy cost per bit and maximal bitrates on an RF communication channel are beginning to hit their physical limits. Furthermore, as the size of the networked system of unmanned vehicles grows, each vehicle gets a smaller bandwidth on which to transmit. Conversely, onboard computations are becoming increasingly more energy efficient; a BeagleBone Black computer consumes 210-460 mA at 5V. Therefore, one can utilize inexpensive onboard computation resources in novel ways: to determine the optimal allocation of expensive/limited resources (RF communication channel); to extract more information more reliably from data sources; and, to enable new sensing paradigms. Specifically, we argue that in GNSS-denied environments, sophisticated navigation algorithms can be inexpensively run onboard a team of unmanned vehicles that result in high-quality, reliable navigation solutions at a lower communication cost. We aim to develop a framework that utilizes the currently available sensors (IMU, DVL, RADAR, Stereo camera, LIDAR, Virtual Reality RF tags), along with sensors that will soon be available (low power electric field and magnetic field sensors for electrolocation and geophysical navigation), within more solution paradigms that fully utilize today’s computational platforms to go beyond the extended Kalman filter.
Vladimir Djapic received the B.S. and M.S. degrees from the University of California at San Diego,in 2000 and 2001, and the Ph.D. degree from the University of California at Riverside, Riverside, in 2009, all in electrical engineering. He returned to the Unmanned Maritime Laboratory in Space and Naval Warfare Systems Center Pacific in San Diego in 2014 where he is a Chief Scientist and a lead Principal Investigator (PI) for projects that utilize Maritime Autonomous Systems (air, surface, and subsurface). Dr. Djapic is also leading numerous international collaborative efforts, for example, Next Generation Autonomous Systems (NGAS) with multiple international partners and Coalition Warfare Program (CWP) with Croatia. From 2008 to 2013 he worked at Center for Maritime Research and Experimentation (CMRE), former NATO Undersea Research Centre (NURC), La Spezia, Italy, and served as a Scientist-in-charge for 5 major NATO sea trial that involved two CMRE ships, as well as shore-lab experiments set-ups with heterogeneous autonomous robots: Autonomous Surface and Underwater vehicles (ASVs and AUVs). The objective of his research effort at CMRE was to design an inexpensive, but robust and effective autonomous mine neutralization system and perform multiple at-sea experiments. From 2002 to 2007, he worked at Space and Naval Warfare Systems Center Pacific in San Diego. His ONR funded work focused on utilizing advances in navigation, control, and sonar processing to exploit AUVs for complex missions, for example, ship hull inspection.
Dr. Djapic has served as Technical Director of Student Autonomous Underwater Competition-Europe (SAUC-E, sauc-europe.org) since 2010 and since 2013 as a PI for European Robotics Athlon (euRathlon, www.eurathlon.eu/site) and Robocademy (www.robocademy.eu). He has over 50 publications at prestigious international journals and conferences and has served as an editor and reviewer during his scientific career.