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EB-RRT: Optimal Motion Planning for Mobile Robots
IEEE Transactions on Automation Science and Engineering, 2020In a human–robot coexisting environment, it is pivotal for a mobile service robot to arrive at the goal position safely and efficiently. In this article, an elastic band-based rapidly exploring random tree (EB-RRT) algorithm is proposed to achieve real ...
Jiankun Wang, M. Meng, O. Khatib
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Fixed-Time Leader-Following Consensus for Multiple Wheeled Mobile Robots
IEEE Transactions on Cybernetics, 2019This article deals with the problem of leader-following consensus for multiple wheeled mobile robots. Under a directed graph, a distributed observer is proposed for each follower to estimate the leader state in a fixed time.
Boda Ning, Q. Han, Q. Lu
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Distributed Estimation and Control for Leader-Following Formations of Nonholonomic Mobile Robots
IEEE Transactions on Automation Science and Engineering, 2018The problem of the leader-following formation control of nonholonomic mobile robots is addressed in this paper. A distributed formation control strategy using explicitly the coordination errors among robots is proposed without assuming that each follower
Zhiqiang Miao +4 more
semanticscholar +1 more source
2017
Mobile robots are increasingly becoming the subject of research and a very important area of science, so that the 21st century will be named as the century of development of service robots. Mobile robots are an excellent “System Engineering” research example because it includes a lot of scientific research, namely in the area of mechanical engineering,
Isak Karabegović, Vlatko Doleček
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Mobile robots are increasingly becoming the subject of research and a very important area of science, so that the 21st century will be named as the century of development of service robots. Mobile robots are an excellent “System Engineering” research example because it includes a lot of scientific research, namely in the area of mechanical engineering,
Isak Karabegović, Vlatko Doleček
openaire +2 more sources
Storage Assignment with Rack-Moving Mobile Robots in KIVA Warehouses
Transportation Science, 2018This paper treats an automated warehousing system, known as the KIVA system, where mobile robots lift complete racks and autonomously move them to stationary pickers.
Felix Weidinger, N. Boysen, D. Briskorn
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Robust Object Recognition Through Symbiotic Deep Learning In Mobile Robots
IEEE/RJS International Conference on Intelligent RObots and Systems, 2018Despite the recent success of state-of-the-art deep learning algorithms in object recognition, when these are deployed as-is on a mobile service robot, we observed that they failed to recognize many objects in real human environments.
João Cartucho, R. Ventura, M. Veloso
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International Journal of Pattern Recognition and Artificial Intelligence, 1991
Mobile robots must deal with unstructured environments in order to be general and useful. Current laboratory robots often use single approach to deal with unstructured environments: position sensing, environment sensing, planning, or mechanical design.
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Mobile robots must deal with unstructured environments in order to be general and useful. Current laboratory robots often use single approach to deal with unstructured environments: position sensing, environment sensing, planning, or mechanical design.
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Mobile Robots for Planetary Exploration
IFAC Proceedings Volumes, 1995Abstract Mobile robots are key components in planetary exploration, to extend the area in reach for measurements, and to access points of scientific interest. After a review of particular design constraints of the space environment, a survey of planetary rover activities since the sixties is given. In particular, requirements and technical approaches
Klaus Schilling, Christoph Jungius
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A Robot-Task Planner for Mobile Robots
IFAC Proceedings Volumes, 1995Abstract To be both realistic and efficient a planning method must take into account several aspects of robotics applications such as sensory and command uncertainties, relationship between planning and execution control and complexity of the robot control.
I. COLLIN, N. LE FORT-PIAT, D. MEIZEL
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