Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Karthika Sundaran"'
Publikováno v:
Procedia Computer Science. 133:998-1004
Trajectory planning is a prime method in the research on mobile robot navigation. Sampling-based algorithms can generate trajectories which help the robot to reach the target avoiding obstacles. In this proposed work, an Enhanced Artificial Potential
Publikováno v:
Cluster Computing. 22:9599-9613
Energy minimization in sensor nodes is the problem in wireless sensor networks (WSNs). The most widely accepted method to preserve energy of sensor nodes is clustering. In cluster based networks, energy consumption is higher in the nodes which are cl
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811302114
Trajectory planning is an essential aspect of research into the use of pliable needles for surgical processes. Sampling-based algorithms can generate trajectories and reach the target avoiding obstacles. However, the trajectories cannot match the phy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710c24e2971f6b9d132a4a1a592a334c
https://doi.org/10.1007/978-981-13-0212-1_74
https://doi.org/10.1007/978-981-13-0212-1_74
Publikováno v:
2018 International Conference on Recent Trends in Electrical, Control and Communication (RTECC).
Trajectory planning is a necessary method in the research on pliable needle for surgical processes. Sampling-based algorithms can generate trajectories and reach the target avoiding obstacles. But the trajectories cannot match the physical constraint
Autor:
Karthika Sundaran
Publikováno v:
2018 Fourth International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB).
In recent years, the significant uplift in artificial intelligence and other related electrical and mechanical integration technology made the robots to play an important role in modern life. In the study of mobile robot, trajectory planning has alwa
Publikováno v:
2018 International Conference on Communication, Computing and Internet of Things (IC3IoT).
Trajectory planning is a prime method in the research on mobile robot navigation. Sampling-based algorithms can generate trajectories and reach the target avoiding obstacles. In this proposed work, an Enhanced Artificial Potential Field (E-APF) gener
Publikováno v:
2018 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS).
This paper proposes the transportation navigation planning of an aerial vehicle using spline interpolation technique in a stormy wind turbulent atmosphere. When operating an unmanned or manned aerial vehicle in real time scenario, it is necessary to
Publikováno v:
2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI).
An Enhancement of Artificial Bee Colony (ABC) algorithm, reflecting the multi-objective features of robot trajectory planning problems, is designed and simulated results are presented. Even though the basic ABC algorithm used in mobile robot can obta
Publikováno v:
2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS).
This paper proposes a trajectory planning of a mobile robot using Probabilistic Roadmaps [PRM] with spline technique. In the proposed method, the PRM method is combined with the spline technique to generate smooth trajectories, which are important fo
Publikováno v:
2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT).
Reduction of energy consumption is the key issue to be solved in Wireless Sensor Networks [WSNs]. To minimize energy consumption and to increase scalability, clustering is a useful and convenient technique. Hot spot problem will be generated when far