Konferensartikel

The Crimson Small Robot Team

Byung-joo Lee
Automatic Control Lab. Department of Electrical Eng. Korea Univ. Seoul, Korea

Seong-Oh Lee
Automatic Control Lab. Department of Electrical Eng. Korea Univ. Seoul, Korea

Kwan-Soo Lee
Automatic Control Lab. Department of Electrical Eng. Korea Univ. Seoul, Korea

Ladda ner artikel

Ingår i: RobocCup-99 Team Descriptions. Small and Middle Leagues

Linköping Electronic Conference Proceedings 3:5, s. 33-38

Linköping Electronic Articles in Computer and Information Science vol. 4 3:5, p. 33-38

Visa mer +

Publicerad: 1999-12-05

ISBN:

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

This paper shall summarize the hardware and sofrware description of the overall system in short terms. Our robot was designed move as fast as possible keeping correctness. So; DSP CPU; high pulse encoder and Adaptive Control algorithm was used at the robot system. From the information of global vision system; centralized computer excutes overall game strategy and decides each robots movement. Then broadcast these commands to each robot. In planning robots path; we used simple but powerful algorithm.

Nyckelord

Inga nyckelord är tillgängliga

Referenser

[1] Hajime Asama; "Trends of Distributed Autonomous Robotics Systems" in Distributed Autonomous Robotics Systems I; Springer-Verlag Tokyo; 1994.

[2] H. Choset and J. Burdick; Sensor based planning and nonsmooth analysis; IEEE Conf. on Robotics and Automat.; pp. 3034-3041; 1994.

[3] H. Choset and J. Burdisk; Sensor based planning; part I: The generalized vorinoi graph; IEEE Conf. on Robotics and Automat.; pp. 1649-1655; 1995.

[4] H. Choset and J. Burdisk; Sensor based planning; part II: Incremental construction of the generalized voronoi graph; IEEE Conf. on Robotics and Automat.; pp. 1643-1648; 1995.

[5] D. Gaw and A. Meystel; Minimum-time navigation of an unmanned mobile robot in a 2-1/2D world with obstacles; IEEE Conf. on Robotics and Automat.; pp. 1670-1667; 1986.

[6] T. Lozano-Perez and M. A. Wesley; An algorithm for planning collision-free paths among polyhedral obstacles; Commu. ACM; vol. 22; no. 10; pp. 560-570; 1979.

[7] A. Meystel; A. Guez and G. Hillel; Minimum time path planning for a robot; IEEE Conf. on Robotics and Automat.; pp. 1670-1677; 1986.

[8] H. Nobori; A functional extension of the sucient condition to design a family of sensor-based deadlock-free path-planning algorithms; IEEE Proc. of IECON; pp. 1058-1063; 1994.

[9] S. Kambhampati and L. S. Davis; Multiresolution path planning for mobile robots; IEEE J. of Robotics and Automat.; vol. RA2; no 3; pp. 135-145; 1986.

Citeringar i Crossref