Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Hossein Barghi Jond"'
Publikováno v:
Journal of Optimization in Industrial Engineering, Vol 10, Iss 21, Pp 1-6 (2016)
The trajectory planning, which is known as a movement from starting to end point by satisfying the constraints along the path is an essential part of robot motion planning. A common way to create trajectories is to deal with polynomials which have in
Externí odkaz:
https://doaj.org/article/5b9cf4c9d3744687a7403668f04cfcb1
Autor:
Adel Akbarımajd, Hossein Barghi Jond
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 22, Iss 5, Pp 390-395 (2016)
Bu çalışmada biz çoklu etmen (yiyecek) arama sistemi ile ilgileniyoruz, ki bir ekip etmen çevrede bazı ilgi çeken nesneleri bulup yuva götürmeye kadar arama yapıyor. Arama için mevcut modellerin dışında, biz birçok etmen sistemi içind
Externí odkaz:
https://doaj.org/article/8768bb259c494b80b4649d363d38f80d
Autor:
Adel Akbarımajd, Hossein Barghi Jond
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 22, Iss 5, Pp 390-395 (2016)
In this paper we are interested to multi-agent foraging, where a team of agents search environment until they find some interested objects and return to nest. Apart from existing models for foraging, we consider a multi-agent system that the agents a
Externí odkaz:
https://doaj.org/article/df7af1bd0b0247bdbc9e0d70f4b6f215
Publikováno v:
Journal of Advances in Computer Engineering and Technology, Vol 2, Iss 3, Pp 35-42 (2016)
This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contac
Externí odkaz:
https://doaj.org/article/3ee9b5b32e394636a766bf3399b297b9
Publikováno v:
Ain Shams Engineering Journal, Vol 13, Iss 1, Pp 101491-(2022)
This paper proposes an efficient path planning technique for the autonomous collision-free navigation of wheeled mobile robots with simple hardware based on an adaptive neuro-fuzzy inference system (ANFIS). The distance between the robot and obstacle
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b26d52363f566e5a9606039ad5cc04a9
http://hdl.handle.net/10084/146237
http://hdl.handle.net/10084/146237
Publikováno v:
Proceedings of conference GIS Ostrava 2021 Advances in Localization and Navigation.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00952da7fea08521771a4703f506df49
https://doi.org/10.31490/9788024845050-2
https://doi.org/10.31490/9788024845050-2
Today's semi-autonomous vehicles are gradually moving towards full autonomy. This transition requires developing effective control algorithms for handing complex autonomous tasks. Driving as a group of vehicles, referred to as a convoy, on automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd48f006ccc01a7f0a8a535be5406545
https://hdl.handle.net/20.500.12294/2547
https://hdl.handle.net/20.500.12294/2547
Autor:
Hossein Barghi Jond, Jan Platos
Publikováno v:
2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS).
A very challenging control task for operating autonomous vehicles is to avoid collision with approaching pedestrians or vehicles while tracking a reference trajectory. This paper proposes a Linear-Quadratic Regulator (LQR)-based collision avoidance t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6270f7cd4ebb7b038acb5400757a554
https://doi.org/10.1109/icspis48872.2019.9066077
https://doi.org/10.1109/icspis48872.2019.9066077
Autor:
Hossein Barghi Jond, Jan Platos
Publikováno v:
2019 7th International Conference on Robotics and Mechatronics (ICRoM).
This paper presents a fast trajectory tracking control strategy based on the Linear-Quadratic Regulator (LQR) and Receding Horizon Control (RHC) for real-time autonomous driving. A path deviation parameter is introduced and integrated into the LQR. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd9482e4d61d5967285cef2f9e7050b
https://doi.org/10.1109/icrom48714.2019.9071867
https://doi.org/10.1109/icrom48714.2019.9071867
Speed Control for Leader-Follower Robot Formation Using Fuzzy System and Supervised Machine Learning
Publikováno v:
Sensors, Vol 21, Iss 3433, p 3433 (2021)
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Mobile robots are endeavoring toward full autonomy. To that end, wheeled mobile robots have to function under non-holonomic constraints and uncertainty derived by feedback sensors and/or internal dynamics. Speed control is one of the main and challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57a538f61973a23c01e92155c3a81ddf
https://doi.org/10.3390/s21103433
https://doi.org/10.3390/s21103433