Gridworld Search and Rescue: A Project Framework for a Course in Artificial Intelligence
نویسنده
چکیده
This paper describes the Gridworld Search and Rescue simulator: freely available educational software that allows students to develop an intelligent agent for a search and rescue application in a partially observable gridworld. It permits students to focus on high-level AI issues for solving the problem rather than low-level robotic navigation. The complexity of the search and rescue problem supports a wide variety of solutions and AI techniques, including search, logical reasoning, planning, and machine learning, while the high-level GSAR simulator makes the complex problem manageable. The simulator represents a 2D disaster-stricken building for multiple rescue agents to explore and rescue autonomous injured victims. It was successfully used as the semester project for CMSC 471 (Artificial Intelligence) in Fall 2007 at UMBC.
منابع مشابه
RoboCup Rescue: A Grand Challenge for Multiagent and Intelligent Systems
issues that involves very large numbers of heterogeneous agents in the hostile environment. The intention of the RoboCup Rescue project is to promote research and development in this socially significant domain at various levels, involving multiagent teamwork coordination, physical agents for search and rescue, information infrastructures, personal digital assistants, a standard simulator and d...
متن کاملA Reference Test Course for Urban Search and Rescue Robots
One approach to measuring the performance of intelligent systems is to develop standardized or reproducible tests. These tests may be in a simulated environment or in a physical test course. The National Institute of Standards and Technology has developed a test course for evaluating the performance of mobile autonomous robots operating in an urban search and rescue mission. The test course is ...
متن کاملTeaching Introductory Artificial Intelligence with Pac-Man
The projects that we have developed for UC Berkeley’s introductory artificial intelligence (AI) course teach foundational concepts using the classic video game Pac-Man. There are four project topics: state-space search, multi-agent search, probabilistic inference, and reinforcement learning. Each project requires students to implement general-purpose AI algorithms and then to inject domain know...
متن کاملArtificial Intelligence Based Approach for Identification of Current Transformer Saturation from Faults in Power Transformers
Protection systems have vital role in network reliability in short circuit mode and proper operating for relays. Current transformer often in transient and saturation under short circuit mode causes mal-operation of relays which will have undesirable effects. Therefore, proper and quick identification of Current transformer saturation is so important. In this paper, an Artificial Neural Network...
متن کاملFC Portugal: Search and Rescue in Urban Catastrophes
This paper presents an overview of the RoboCup Rescue Simulation League and the rescue team FC Portugal. RoboCup Rescue Simulation is an international joint project that promotes research on distributed artificial intelligence and intelligent robotics. It offers a comprehensive urban disaster simulator and a competitive evaluation for researchers. This paper explains the objectives of the leagu...
متن کامل