OPTIMAL CONTROL OF ROBOTS BY DYNAMIC PROGRAMMING

被引:0
作者
Baumgart-Schmitt, Rudolf [1 ]
Liebetrau, Stephan [1 ]
Walther, Christian [1 ]
Krautwald, Maria [1 ]
Trommer, Daniel [1 ]
机构
[1] Univ Appl Sci Schmalkalden, Fac Elect Engn, Schmalkalden, Germany
来源
ECT 2009: ELECTRICAL AND CONTROL TECHNOLOGIES | 2009年
关键词
control of robots; cellular automata; dynamic programming;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A swarm of robots are adapted to an unknown environment by reinforcement learning. Each of the robots is able to scan the environment and to measure the distance to the next hindrance. The information collected by the robots are transferred in a wireless mode by the serial Bluetooth protocol to the central unit. This unit performs the backward recursion of Dynamic Programming to get the optimal route from one place to another for each of the robots. The general goal consists of finding the route with the minimal number of steps from the initial to the final point of a two dimensional area. The performance of the approach can be demonstrated by both the simulation and the real robots.
引用
收藏
页码:27 / 30
页数:4
相关论文
共 50 条
[21]   A Dynamic Programming Approach for Approximate Optimal Control for Cancer Therapy [J].
Nowakowski, A. ;
Popa, A. .
JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS, 2013, 156 (02) :365-379
[22]   Optimal control of a rougher flotation process based on dynamic programming [J].
Maldonado, M. ;
Sbarbaro, D. ;
Lizama, E. .
MINERALS ENGINEERING, 2007, 20 (03) :221-232
[23]   Robust Modeling for Optimal Control of Parallel Hybrids With Dynamic Programming [J].
Miretti, Federico ;
Misul, Daniela .
2022 IEEE/AIAA TRANSPORTATION ELECTRIFICATION CONFERENCE AND ELECTRIC AIRCRAFT TECHNOLOGIES SYMPOSIUM (ITEC+EATS 2022), 2022, :1015-1020
[24]   A Dynamic Programming Approach for Approximate Optimal Control for Cancer Therapy [J].
A. Nowakowski ;
A. Popa .
Journal of Optimization Theory and Applications, 2013, 156 :365-379
[25]   Optimal control of permanent magnet motors using dynamic programming [J].
Quirion, JP ;
Gunn, E ;
Gu, J .
2004 IEEE CONFERENCE ON ROBOTICS, AUTOMATION AND MECHATRONICS, VOLS 1 AND 2, 2004, :364-369
[26]   Optimal control of piecewise affine systems: A dynamic programming approach [J].
Christophersen, FJ ;
Baotic, M ;
Morari, M .
CONTROL AND OBSERVER DESIGN FOR NONLINEAR FINITE AND INFINITE DIMENSIONAL SYSTEMS, 2005, 322 :183-198
[27]   Optimal control solution to operator differential equations using dynamic programming [J].
Ahangar, R .
CSC '05: Proceedings of the 2005 International Conference on Scientific Computing, 2005, :16-22
[28]   Invariant Adaptive Dynamic Programming for Discrete-Time Optimal Control [J].
Zhu, Yuanheng ;
Zhao, Dongbin ;
He, Haibo .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 50 (11) :3959-3971
[29]   Optimal Control of Batteries in Communication and Distribution System Based on Dynamic Programming [J].
Zhou, Shaoxiong ;
Yang, Ping ;
Liu, Shengrong ;
Zheng, Mugui .
2009 3RD INTERNATIONAL CONFERENCE ON POWER ELECTRONICS SYSTEMS AND APPLICATIONS: ELECTRIC VEHICLE AND GREEN ENERGY, 2009, :90-90
[30]   A dynamic programming approach for L0 optimal control design [J].
Rao, Z. .
IFAC PAPERSONLINE, 2017, 50 (01) :2886-2891