Speed governing behavior on parallel two-wheeled electric scooter by life-sized humanoid robot based on learning control with online tuning for PID gain during control

Author:

KIMURA Kohei1,MIZOHANA Hiroto1,NOZAWA Shunichi1,OKADA Kei1,INABA Masayuki1

Affiliation:

1. Graduate School of Information Science and Technology, The University of Tokyo

Publisher

Japan Society of Mechanical Engineers

Reference27 articles.

1. Ando, N., Suehiro, T., Kitagaki, K., Kotoku, T. and Yoon, W. K., RT-middleware: distributed component middleware for RT (robot technology), Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (2005), pp.3555-3560.

2. Åström, K. J. and Hägglund, T., PID Controllers: Theory, Design, and Tuning 2nd Edition (1995), pp.80-92, Instrument Society of America.

3. Baerveldt, A. J. and Klang, R., A low-cost and low-weight attitude estimation system for an autonomous helicopter, Proceedings of the IEEE International Conference on Intelligent Engineering Systems (1997), pp.391-395.

4. DARPA, The DARPA Robotics Challenge (2015), available from <http://archive.darpa.mil/roboticschallenge/>, (accessed on 16 September, 2017).

5. Fareastgizmos, Hubo the first robot in the world to get on a Segway (2007), available from <http://fareastgizmos.com/other_stuff/hubo_the_first_robot_in_the_world_to_get_on_a_segway.php>, (accessed on 16 September, 2017).

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