Programs[su_box title=”TECHNICAL PROGRAM” box_color=”#39495b”]
The schedule of the Conference Programs is now available for download.
[su_button url=”http://ica-itb.com/2016/wp-content/uploads/sites/3/2016/08/ICA-2016-Conference-Program.pdf” target=”blank” background=”#5f6873″ radius=”0″]DOWNLOAD CONFERENCE TECHNICAL PROGRAMS[/su_button]
(Updated: August 25, 2016)
Please visit this website regularly as the schedule may subject to updates/revisions.[/su_box] [su_box title=”THE ARIFIN WARDIMAN BEST PAPER AWARD” box_color=”#39495b”]The Technical Program Committee (TPC) is pleased to announce that the following papers have been selected as nominees for the Arifin Wardiman Best Paper Award:[su_list icon=”icon: caret-square-o-right”]
- An Image-based Visual Servo Control System Based on an Eye-in-hand Monocular Camera for Autonomous Robotic Grasping [Teerawat Tongloy and Siridech Boonsang (King Mongkut’s Institute of Technology Ladkrabang, Thailand)]
- Development of a Control System for a Stair-Climbing Inverted Pendulum Robot [Ananta Adhi Wardana, Takeshi Takaki, Tadayoshi Aoyama, Idaku Ishii (Hiroshima University, Japan)]
- Lightweight, Non-invasive Collection of Steering Wheel Angles and Pedal Positions [M. Ruf, J.R. Ziehn , D. Willersinn (Fraunhofer IOSB, Germany) L. German, B. Rosenhahn (Leibniz Universit¨at Hannover), J. Beyerer (Karlsruhe Institute of Technology, Germany) and H. Gotzig (Valeo Schalter und Sensoren GmbH, Germany)]
- Robust Flight Control Design using Incremental Adaptive Sliding Mode Control [Idris E. Putro, Florian Holzapfel (Technische Universität München, Germany)]
- Sensorless Wind Energy Conversion System Using Fuzzy Wind Speed Estimator [Agus Naba (University of Brawijaya, Indonesia)]
In addition to the technical content of the paper, members of the TPC will also assess the oral presentation of each paper in making the final decision of the award’s winner. The winner of the best paper award will be announced during the closing ceremony of the conference.
[/su_box] [su_box title=”TUTORIALS & WORKSHOPS” box_color=”#39495b”]The organizing committee is pleased to offer the following series of tutorials/workshops during ICA 2016:[su_list icon=”icon: caret-square-o-right”]
- Electrical Impedance Tomography: Computational on Forward & Inverse Problems [flyer]
- Intelligent Transportation Systems [flyer]
- Polynomial Optimization Method in Systems and Control [flyer]
- Robotics Workshop for Beginner [flyer, terms of reference (in Indonesian)]
- Speech Recognition & Biometrics [flyer]
All workshops will be held on August 29, 2016 at the conference venue. For further information regarding the content and registration of the workshop, please contact Mr. Chairinnas (workshop coordinator) at: email@example.com
Please note that workshops and tutorials are subject to (a) cancellation due to lack of registrants and (b) capacity limits. In order to ensure that a particular workshop fulfills the capacity requirement/limit, we urge prospective attendees to contact the workshop coordinator and register for the workshop at their earliest convenience.
[/su_box] [su_box title=”PLENARY TALKS”]Towards a distributed and simultaneous scaling-motion-formation control of mobile robots
Bayu Jayawardhana (University of Groningen, Netherlands)
Abstract: In this talk, we will present an overview of control challenges in the deployment of cooperative robotic teams or mobile robots. In the first part of the talk, we discuss the well-known distributed rigid formation control and its fragility in coping with differences on the desired distance between two neighboring robots that can be due to sensor bias. By implementing a simple distributed estimator, we are able to, not only, remove the unwanted group motion, but also to recover the desired formation. Based on the insight on the role of distance disagreement to the robots dynamics, we present, in the second part of the talk, a novel distributed control method for achieving simultaneous scaling-motion-formation of robots. Throughout the talk, we show also experiments in our mobile robotic lab where we present the aforementioned problem and our proposed solutions.
Biosketch: Bayu Jayawardhana received the B.Sc. degree from Institut Teknologi Bandung, Bandung, Indonesia, in 2000, the M.Eng. degree from Nanyang Technological University, Singapore, in 2003, and the Ph.D. degree from Imperial College London, London, U.K., in 2006, all in Electrical and Electronics Engineering. He was with Bath University, Bath, U.K., and with Manchester Interdisciplinary Biocentre, University of Manchester, Manchester, U.K. He is currently an Associate Professor with the Faculty of Mathematics and Natural Sciences at the University of Groningen, Groningen, Netherlands. His research interests include the analysis of nonlinear systems, systems with hysteresis, mechatronics, and systems and synthetic biology. He is a Subject Editor of International Journal of Robust and Nonlinear Control and an Associate Editor of European Journal of Control. Dr. Jayawardhana is a member of the Conference Editorial Board of the IEEE Control Systems Society.
Machine mechanisms including information processing functions & their applications
Takeshi Takaki (Hiroshima University, Japan)
Abstract: This talk will introduce the use of machine elements such as a gear, pulley, and links to realize information processing as a computer. While information processing is often believed to be a difficult task, this talk will show a relatively simple and easy way to achieve such a task and use it to enable the creation of machines for high-performance robots. From an application standpoint, this talk will also demonstrate some applications of our idea in developing robots which are capable of performing different functionalities (e.g. inverted pendulum robot capable of climbing stairs, finger joint with load-sensitive continuously variable transmission, and anthropomorphic robot hand with a grasp force magnification mechanism).
Biosketch: Takeshi Takaki received both the B.Sc. and M.Sc. degrees in Mechanical Engineering from Tokyo University of Science in 2000 and 2002, respectively, and the doctoral degree in Mechano-Micro Engineering from Tokyo Institute of Technology in 2003. In 2007, he joined the Department of Artificial Complex System Engineering at Hiroshima University as an Assistant Professor. He joined the Department of System Cybernetics at the same university in 2008 and became an Associate Professor in 2011. Dr. Takaki currently leads the Robotic Lab at Hiroshima University. His research interests include robot mechanisms, dynamics of hand robot, continuously variable transmission, and force visualization mechanism.
Quantitative brain signal for neurofeedback and human computer interface
Suprijanto (Institut Teknologi Bandung, Indonesia)
Abstract: Brain activities are capable of generating very weak but complex electrical signals. These signals occur due to electrical activities of groups of neurons within the brain cortex. The brain signals generated by these neurons have some particular characteristics such as nonperiodic and nonstationary which make their studies become very challenging. This talk will present several methods of brain signals processing that can be used to better understand the brain response to various external stimulations and to use neurofeedback concept in evaluating human’s responses to specific tasks. This talk will further present a method for extracting brain signal information for accommodating the interfacing between human and computer systems. Case studies of the discussed topics will be presented with regard to brain-computer interface application in control systems and rehabilitation support systems.
Biosketch: Suprijanto received both the B.Eng and M.Eng. degrees in Engineering Physics from the Department of Engineering Physics at Institut Teknologi Bandung, and the doctoral degree in Applied Physics from TU Delft, Netherlands. Dr. Suprijanto is currently a faculty member at the Department of Engineering Physics at Institut Teknologi Bandung where he also directs the Medical Instrumentation laboratory. Dr. Suprijanto’s research interests include haptic technologies, techniques for minimally invasive surgery, medical robotics and teleoperation, image-guided therapy, and robot kinematics.[/su_box]