2013/07/26 by Megumi Fujita, Fujita, Megumi, Yuki Goto +7
Computer Science · #AI-based Problem Solving and Planning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Reinforcement Learning in Robotics #Robotics (cs.RO) #cs.AI #cs.RO
paper · pdf · doi:10.48550/arxiv.1307.7129
Submission for proc. of KRR-ICLP2013 (resubmitted using LLNCS style)
arxiv created 2013/07/26 · openalex publication_date 2013/07/26 · arxiv updated 2013/07/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the real world, robots with embodiment face various issues such as dynamic continuous changes of the environment and input/output disturbances. The key to solving these issues can be found in daily life; people `do actions associated with sensing' and `dynamically change their plans when necessary'. We propose the use of a new concept, enabling robots to do these two things, for autonomously controlling mobile robots. We implemented our concept to make two experiments under static/dynamic environments. The results of these experiments show that our idea provides a way to adapt to dynamic changes of the environment in the real world.