• ICRAI 2019

    October 21~22, 2019

    NUST CEME

    Rawalpindi, Pakistan



  • ICRAI 2019

    October 21~22, 2019

    NUST CEME

    Rawalpindi, Pakistan



  • ICRAI 2019

    October 21~22, 2019

    NUST CEME

    Rawalpindi, Pakistan



  • ICRAI 2019

    October 21~22, 2019

    NUST CEME

    Rawalpindi, Pakistan



  • ICRAI 2019

    October 21~22, 2019

    NUST CEME

    Rawalpindi, Pakistan

Keynotes

ICRAI 2019 Keynote Speakers introduction and speech brief are given below.

 
Keynote Speech - 1 : Developement Outline of Humanoid Robot: HUBO

Keynote Speech Abstract: Humanoid robot is a machine which is built to look alike human and to move like a human. That means humanoid robot should satisfy two major aspects:- anthropomorphism (looks like a human) and functionality (moves like a human). The talk will present what are the main challenges to achieve these goals and how can we attack the problems by introducing the development outline of Hubo, the first Korean humanoid robot. The full size humanoid robot with height of around 1.5m is quit differ from the toy size small ones in many aspects.
It should have very stable and well designed structure with little uncertainties. It must strong enough to move its body weight but not so heavy to minimize the torques to drive the body parts. All the electrical parts and sensors must be compact to be fit in the enclosure of the body. We designed such kind of parts including force/torque sensors, inertia sensors and all the driver circuits, internal decentralized control architecture and hardware. Another important task is design walk algorithm. Walking algorithm is composed with two parts- off line gait pattern design and real time stabilization control. Gait pattern design is to find a periodic function for each joint of leg such that humanoid robot is to walk with desired velocity keeping certain level of stability.
We suggested a simple function connected with cubic spline and sine functions with minimal number of parameters. This approach simplifies the parameter adjustment procedure. Play back of gait pattern found from the former process, however, does not guarantee the robot walks in real practice since there are number of uncertainties involved in real situation. The uncertainties include ground inclination, friction, un modeled vibration of the body. The stabilization algorithm should deal with such kind of problems. Hubo walk algorithm has 8 levels of hierarchical control architecture to cope with the general circumstances in walking environment. The general issues including mentioned above will be presented.

 
  Distinguished Professor Jun-Ho Oh
  Director of Humanoid Robot Research Center
Chair Professor
Professor of Mechanical Engineering
Korea Advanced Institute of Science and Technology (KAIST)
South Korea
 

 
  Biography
 
Professor Jun-Ho Oh received his B.S. and M.S. degree from Yonsei University, Seoul, Korea in 1977 and 1979, respectively. After short working at Korea Atomic Energy Research Institute as a researcher from 1979 to 1981, he received Ph.D. degree in mechanical engineering in the field of automatic control at U.C., Berkeley in 1985. He is now a distinguished professor of mechanical engineering and the director of Humanoid robot research center(Hubo Lab) at Korea Advanced Institute of Science and Technology (KAIST). He performed many industry and government research projects in motion control, sensors, microprocessor applications, and robotics, etc. He is especially interested in mechatronics and system integration. In the recently ten years, he completed unique humanoid robot series KHR-1, KHR-2, Hubo and Hubo 2. And he also developed Albert Hubo and Hubo FX-1. Recently, he leaded team KAIST and won Darpa Robot Challenge final as first place at Pomona, Ca, USA in 2015. He is currently studying to improve the performance of humanoid robot for faster and more stable walking, robust robot system integration and light weight design, etc. He is a member of ASME and IEEE. And he also is the member of the National Academy of Engineering of Korea and the member of Korea Academy of Science and Technology.
Google Scholar Profile.
Introduction Video .
 
 
 
 
Keynote Speech - 2 : Robotics Vision
 

  Distinguished Professor Peter Corke
  Professor of Robotic Vision
Director of Australian Research Council Centre of Excellence for Robotics Vision
Fellow of IEEE
Science and Engineering Faculty, Queensland University of Technology, Australia
 

 
  Biography
 

Professor Peter Corke is an Australian roboticist known for his work on Visual Servoing, field robotics, online education, the online Robot Academy and the Robotics Toolbox and Machine Vision Toolbox for MATLAB (matrix laboratory). He is currently director of the Australian Research Council Centre of Excellence for Robotic Vision, and a Distinguished Professor of Robotic Vision at Queensland University of Technology. His research is concerned with robotic vision, flying robots and robots for agriculture.
Google Scholar Profile.
Introduction Video .
Peter Corke's Resources for Robotics Education .

 
 
 
 
Keynote Speech - 3 : Autonomous Navigation in rough Terrain using an Unimog

Keynote Speech Abstract: For applications like forestry, firefighting or transportation tasks in earthquakes disaster areas autonomous vehicles are necessarily able to navigate in rough terrain. To develop such a system an adequate mechanical vehicle concept must exist. On the other hand, a perception and control architecture has to be implemented, which supports the navigation process. The all-terrain Unimog of Mercedes-Benz Special Trucks is one best cross-country mobility vehicle worldwide. In the presentation it will be discussed, how, for such a vehicle, a specific behaviour-based control architecture can be developed, which is used for the complex perception and control. Due to several examples performed in simulation and on the real Unimog the performance of the control concept will be shown.

 

  Professor Karsten Berns
  Head of the robotics research
University of Kaiserslauternat (TUKL)
Germany
 

 
  Biography
 

Professor Karsten Berns is a full professor at the University of Kaiserslautern.
His present research activities are realization of reliable, complex autonomous robotic systems. In this regard, he and his research group are developing a robotic middleware, namely Finroc, a behavior-based control architecture, iB2C, as well as different validation and verification methodologies. The main application area is off-road robotics, in which autonomous or semi-autonomous vehicles like small trucks, excavators, harvesters, tractors, and rescue robots are under development.

He is a member of the IEEE, the Gesellschaft f��nformatik (GI) and the CLAWAR Association. He is a member of the executive committee of the German Robotics Association (DGR) and is leader of the technical committee for robotic systems of the GI. He has also served as a Dean of the department of computer science at the University of Kaiserslautern (2007-2010). He is a member of the scientific directorate Schloss Dagstuhl - Leibniz Center for Informatics of the Dagstuhl Seminar. Currently, he is the spokesperson of the Center for Commercial Vehicle Technology (ZNT) at the University of Kaiserslautern.
Google Scholar Profile.
Robotics Research Laboratory - AgRoSy .