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
Centar izvrsnosti za znanost o podatcima i napredne kooperativne sustave, istraživačka jedinica ACROSS, Laboratorij za autonomne sustave i mobilnu robotiku - LAMOR i IEEE Hrvatska sekcija, Odjel za robotiku i automatizaciju, pozivaju Vas na predavanje:
"Getting in Touch: Mobile Manipulator Kinematic and Sensor Extrinsic Parameter Calibration
Through Contact-Based Interaction"
koje će održati Prof. Jonathan Kelly, University of Toronto, Kanada. Predavanje će se održati u četvrtak, 25. srpnja 2019. godine, u 13.15 sati, u Sivoj vijećnici FER-a.
Više informacija o predavaču i predavanju možete pročitati u opširnijem sadržaju obavijesti.
Abstract:
Mobile manipulation platforms typically rely on one or more exteroceptive sensors (cameras, depth cameras, lidar units, etc.) to provide information about the immediate operating environment. In some situations, these sensors may be mounted directly to or near the end-effector. However, in many other cases, the sensors are rigidly attached to the mobile base, while the robot arm moves independently. In this talk, I will describe a novel approach for mobile manipulator self-calibration that relies on contact information; the method uses point cloud registration to estimate the transform (relative pose) between a base-mounted exteroceptive sensor and the manipulator's tool endpoint frame. Beyond sensor calibration, I will discuss the possibility of simultaneously calibrating the manipulator kinematic model through a non-rigid registration process. Finally, I will provide an overview of our experimental results and characterize the conditions necessary for reliable calibration.
Bio:
Dr. Jonathan Kelly leads the Space & Terrestrial Autonomous Robotic Systems (STARS) Laboratory at the University of Toronto Institute for Aerospace Studies, where his group carries out research at the nexus of sensing, planning, and control, with an emphasis on the study of fundamental problems related to perception, representation, and understanding of the world. Dr. Kelly holds a Dean's Catalyst Professorship (an early-career award for research excellence and potential) and a Canada Research Chair in Collaborative Robotics. Prior to joining the University of Toronto, he was a postdoctoral researcher in the Robust Robotics Group at the Massachusetts Institute of Technology working with Prof. Nick Roy. Dr. Kelly received his PhD degree in 2011 from the University of Southern California under the supervision of Prof. Gaurav Sukhatme; at USC, he was a member of the first cohort of Annenberg Fellows. Before starting graduate school, he was a Software Engineer in the Space Technologies division of the Canadian Space Agency.