Mobile Robot Localization with an Incomplete Map on Non-Stationary Environments
نویسندگان
چکیده
منابع مشابه
Mobile Robot Mapping and Localization in Non-Static Environments
Whenever mobile robots act in the real world, they need to be able to deal with non-static objects. In the context of mapping, a common technique to deal with dynamic objects is to filter out the spurious measurements corresponding to such objects. In this paper, we present a novel approach to estimate typical configurations of dynamic areas in the environment of a mobile robot. Our approach cl...
متن کاملMobile Robot Planning with Incomplete Information in Dynamic Environments
If mobile robots are to be useful in real-world envirorunents containing human beings, these robots will need to be able to deal with dynamic changes. This paper describes the problems of incomplete infonnation raised by dynamic environments and outlines questions intended to open a dialogue between planning researchers studying the role of incomplete infonnation and roboticists building mobile...
متن کاملMobile Robot Global Localization using an Evolutionary MAP Filter
Anew algorithmbased on evolutionary computation concepts is presented in this paper. This algorithm is a non linear evolutive filter known as the Evolutive Localization Filter (ELF) which is able to solve the global localization problem in a robust and efficient way. The proposed algorithm searches stochastically along the state space for the best robot pose estimate. The set of pose solutions ...
متن کاملMobile Robot Exploration and Map-Building with Continuous Localization
Our research addresses how to integrate exploration and localization for mobile robots. A robot exploring and mapping an unknown environment needs to know its own location, but it may need a map in order to determine that location. In order to solve this problem, we have developed ARIEL, a mobile robot system that combines frontierbased exploration with continuous localization. ARIEL explores b...
متن کاملTowards object mapping in non-stationary environments with mobile robots
We propose an occupancy grid mapping algorithm for mobile robots operating in environments where objects change their locations over time. Virtually all existing environment mapping algorithms rely on a static world assumption, rendering them inapplicable to environments where things (chairs, desks, . . . ) move. A natural goal of robotics research, thus, is to learn models of nonstationary obj...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
سال: 2004
ISSN: 0387-5024,1884-8354
DOI: 10.1299/kikaic.70.113