KIT

Organisation: Institute for Anthropomatics and Robotics – Intelligent Process Control an Robotics Lab (IAR-IPR), Karlsruhe Institute of Technology (KIT)

Website: http://rob.ipr.kit.edu/english/303.php

Address: Engler-Bunte-Ring 8, 76131 Karlsruhe, Germany

Contact: Denis Štogl (Tel: +49 721 608 46903, denis.stogl(at)kit.edu)

 

Other Staff:

  • Yingbing Hua (IAR-IPR, KIT)
  • David Puljiz (IAR-IPR, KIT)

 

Team Profile:

The team consists of three research assistants and Ph.D. candidates at IAR-IPR and application engineer with industrial experience. The team members from IAR-IPR are part of Intelligent Industrial Robotics group (IIROB) where the main research topics are: Path planning for industrial and mobile robots, collision detection and avoidance, calibration and interaction with robots through augmented reality.

Our team is assembled of people from different background and knowledge in robotics.

Yingbing Hua has studied computer science at Clausthal University of Technology with focus on computer vision algorithms. He has done his master thesis at KUKA with the topic in the field of dynamic collision detection and avoidance for KUKA LWR 5 where he used state of the art algorithms and data structures. Since January 2014 he is working at IAR-IPR in the national founded ReApp project (“Autonomik für die Industrie 4.0”) and focuses on intelligent robotic programming. With his know-how in computer vision, experiences in software development and the aspiration of developing advanced robotic algorithms, the team is more confident to achieve the challenging objectives.

David Puljiz has a M.Sc. degree in Electrical engineering and information technology from University of Zagreb with specialisation in automation and robotics. After finishing his master with thesis concerning decision making in robotics swarms using simple messages, he was intern at BOSCH for 4 months where he worked with machine vision algorithms for part inspection and 3D model reconstruction. From June 2014 he is team member of IIROB group at IAR-IPR where he currently investigates usage of ROS in ReApp and EU-project SkillPro, as well as in industrial context.

Denis Štogl has studied electrical engineering and information technology at University of Zagreb with specialisation in automation and robotics. From his bachelor until master he tackled variety of robotic tasks such as localization and navigation of mobile robot, object segmentation, recognition and grasping, simulation of robots in Gazebo and Morse. Most of his work was done using ROS middleware with which he gathered extensive experience. From September 2013 as research assistant at IAR-IPR his focus is on localisation, navigation of mobile platforms, with the goal to achieve force controlled mobile manipulation which is one of the topics in challenge 2. Recently, he was one of the authors of publication: “Tracking and Grasping of Known and Unknown Objects from a Conveyor Belt” (video in attachment) which provides valuable experience for the challenge 2. Currently he is active developer in the EU-project SkillPro where he is responsible for the implementation of unified and flexible resource (e.g. robots and machines) wrappers and their description in AutomationML.

For further list of publications and more information please check his web-site: rob.ipr.kit.edu/english/staff_1761.php

Video 1

 

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News

30.01.2017

Best Drone-based Solution

2017-01-30 10:30 CET

On 2017-01-24 the EuRoC Team "GRVC-CATEC" was awarded the “Best Drone-based Solution” at the Eu parlament in Brussels. For more information, click...read more

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Events

15.05.2017

EuRoC Showcasing Workshop

Date: 2017-05-15 till 2017-05-17

Type: Evaluation Meeting (partialy closed to the public)

Venue: Fraunhofer IPA, Stuttgart, Germany read more

Category: eurocEvents, eurocFutureEvents

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