Symbolic planning and control of robot motion - Finding the missing pieces of current methods and ideas

被引:254
作者
Belta, Calin
Bicchi, Antonio
Egerstedt, Magnus
Frazzoli, Emilio
Klavins, Eric
Pappas, George J.
机构
[1] Univ Pisa, I-56100 Pisa, Italy
[2] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
[3] MIT, Cambridge, MA 02139 USA
[4] Univ Illinois, Urbana, IL 61801 USA
[5] Univ Calif Los Angeles, Los Angeles, CA USA
[6] Univ Washington, Seattle, WA 98195 USA
[7] CALTECH, Control & Dynam Syst Dept, Pasadena, CA 91125 USA
[8] Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USA
[9] Univ Penn, Dept Comp & Informat Sci, Philadelphia, PA 19104 USA
[10] Univ Penn, Dept Mech Engn & Appl Mech, Philadelphia, PA 19104 USA
[11] Univ Penn, GRASP Lab, Philadelphia, PA 19104 USA
关键词
formal methods; motion planning; robot control; self-assembly;
D O I
10.1109/MRA.2007.339624
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of symbolic control is to enable the usage of methods of formal logic, languages and automata theory for solving effectively complex planning problems for robots and teams of robots. A grand challenge in this area is that of enabling a naive user to specify the daily chores of her/his domestic robotic appliances in plain natural language and automatically translate this in device-independent programs, to be downloaded and executed on robots, so as to obtain a dependable performance of the task in spite of the complexity and unpredictability of the environment. Several approaches to address such challenge are emerging and they fall into two groups: top-down approaches, whereby formal logic tools are employed on rather abstract models of robots; and bottoms up approaches, whose aim is to provide means by which such abstractions are possible and effective.
引用
收藏
页码:61 / 70
页数:10
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