کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
413535 680545 2008 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Combining declarative, procedural, and predictive knowledge to generate, execute, and optimize robot plans
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Combining declarative, procedural, and predictive knowledge to generate, execute, and optimize robot plans
چکیده انگلیسی

One of the main challenges in motor control is expressing high-level goals in terms of low-level actions. To do so effectively, motor control systems must reason about actions at different levels of abstraction. Grounding high-level plans in low-level actions is essential semantic knowledge for plan-based control of real robots.We present a robot control system that uses declarative, procedural and predictive knowledge to generate, execute and optimize plans. Declarative knowledge is represented in PDDL, durative actions constitute procedural knowledge, and predictive knowledge is learned by observing action executions. We demonstrate how learned predictive knowledge enables robots to autonomously optimize plan execution with respect to execution duration and robustness in real-time. The approach is evaluated in two different robotic domains.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 56, Issue 11, 30 November 2008, Pages 967–979
نویسندگان
, ,