Energy-efficient indoor search by swarms of simulated flying robots without global information

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Toward indoor flying robots

Developing a research autonomous plane for flying in a laboratory space is a challenge that forces one to understand the specific aerodynamic, power and construction constraints. In order to obtain a very slow flight while maintaining a high maneuverability, ultralight structures and adequate components are required. In this paper we analyze the wing, propeller and motor characteristics and pro...

متن کامل

Flying insect swarms

What to do next? First I decided I would not be fulfilled doing noninvasive behavioural experiments — I need to go into the brain to be happy. I could have chosen computational work but I am an experimentalist at heart. Having that decided, the question was then which species? Where and how was I going to set my new boundary, a personal and arbitrary line without scientific grounding? This proc...

متن کامل

Autonomous Landing for Indoor Flying Robots Using Optic Flow

Urban environments are time consuming, labor intensive and possibly dangerous to safe guard. Accomplishing tasks like bomb detection, search-andrescue and reconnaissance with aerial robots could save resources. This paper describes a prototype called CQAR: Closed Quarter Aerial Robot, which is capable of flying in and around buildings. The prototype was analytically designed to fly safely and s...

متن کامل

3-D relative positioning sensor for indoor flying robots

Swarms of indoor flying robots are promising for many applications, including searching tasks in collapsing buildings, or mobile surveillance and monitoring tasks in complex man-made structures. For tasks that employ several flying robots, spatial-coordination between robots is essential for achieving collective operation. However, there is a lack of on-board sensors capable of sensing the high...

متن کامل

Entropy Search for Information-Efficient Global Optimization

Contemporary global optimization algorithms are based on local measures of utility, rather than a probability measure over location and value of the optimum. They thus attempt to collect low function values, not to learn about the optimum. The reason for the absence of probabilistic global optimizers is that the corresponding inference problem is intractable in several ways. This paper develops...

متن کامل

ذخیره 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: Swarm Intelligence

سال: 2010

ISSN: 1935-3812,1935-3820

DOI: 10.1007/s11721-010-0039-3