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personal data approved: 2023. XII. 15.
Personal data
Ákos Nagy
name Ákos Nagy
name of institution
doctoral school
BME Doctoral School of Electrical Engineering (Supervisor)
the share of work in the different doctoral schools. BME Doctoral School of Electrical Engineering 100%
Contact details
phone number +36 1 463-3971
own web page
Academic title
scientific degree, title Ph.D.
year degree was obtained 2020
discipline to which degree belongs electrical engineering
institution granting the degree Budapest University of Technology and Economics
Employment
2018 - Budapest University of Technology and Economics
university professor or researcher
Thesis topic supervisor
number of doctoral students supervised until now
number of students who fulfilled course requirements
students who obtained their degrees:
present PhD students:
Barbara Abonyi-Tóth (PhD) (2027/01)  DSEE
  Thesis topic proposals
Research
research area robotics, control theory, automation, embedded systems
research field in which current research is conducted electrical engineering
Publications
2023

Barbara Abonyi-Tóth, Ákos Nagy: Autonomous Exploration Using a Tree Structure For Goal Selection, In: Szakál, Anikó (szerk.) IEEE 17th International Symposium on Applied Computational Intelligence and Informatics SACI 2023 : Proceedings, Óbudai Egyetem; IEEE Hungary Section (2023) pp. 21-26.
type of document: Part of book/Proceedings Paper
language: English
URL 
2023

Bálint Tóth, Szabolcs Torma, Ákos Nagy, Luca Szegletes: A novel deep learning-based blood pressure estimation systemusing ECG and PPG signals, In: Kiss, Bálint; Szirmay-Kalos, László (szerk.) Proceedings of the Workshop on the Advances of Information Technology 2023, BME Irányítástechnika és Informatika Tanszék (2023) pp. 15-23.
type of document: Part of book/Proceedings Paper
language: English
2019

Consolini Luca, Locatelli Marco, Minari Andrea, Nagy Akos, Vajk Istvan: Optimal Time-Complexity Speed Planning for Robot Manipulators, IEEE TRANSACTIONS ON ROBOTICS 35: (3) pp. 790-797.
type of document: Journal paper/Article
number of independent citations: 17
language: English
URL 
2019

Nagy Akos, Vajk Istvan: Sequential Time-Optimal Path-Tracking Algorithm for Robots, IEEE TRANSACTIONS ON ROBOTICS 35: (5) pp. 1253-1259.
type of document: Journal paper/Article
number of independent citations: 22
language: English
URL 
2019

Nagy Ákos, Vajk István: Non-Convex Time-Optimal Trajectory Planning for Robot Manipulators, JOURNAL OF DYNAMIC SYSTEMS MEASUREMENT AND CONTROL-TRANSACTIONS OF THE ASME 141: (11) pp. 111007-1-111007-10.
type of document: Journal paper/Article
number of independent citations: 7
language: English
URL 
2018

Ákos Nagy, István Vajk: LP-based Velocity Profile Generation for Robotic Manipulators, INTERNATIONAL JOURNAL OF CONTROL 91: (3) pp. 582-592.
type of document: Journal paper/Article
number of independent citations: 5
language: English
URL 
2018

Ákos Nagy, Gábor Csorvási, István Vajk: Path Tracking Algorithms for Non-Convex Waiter Motion Problem, PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 62: (1) pp. 16-23.
type of document: Journal paper/Article
number of independent citations: 2
language: English
URL 
2017

Csorvási Gábor, Nagy Ákos, Vajk István: Near Time-Optimal Path Tracking Method for Waiter Motion Problem, IFAC PAPERSONLINE 50: (1) pp. 4929-4934.
type of document: Journal paper/Konferenciaközlemény
number of independent citations: 7
language: English
URL 
2016

Sreekrishna Pandi, Frank H P Fitzek, Christopher Lehmann, David Nophut, Domokos Kiss, Viktor Kovács, Ákos Nagy, Gábor Csorvási, Miklós Tóth, Tamás Rajacsics, Hassan Charaf, Rainer Liebhart: Joint Design of Communication and Control for Connected Cars in 5G Communication Systems, In: IEEE (szerk.) 59th IEEE Global Communications Conference, GLOBECOM 2016, IEEE Press (2016) 7848940
type of document: Part of book/Proceedings Paper
number of independent citations: 13
language: English
URL 
2015

Nagy Ákos, Csorvási Gábor, Kiss Domokos: Path Planning and Control of Differential and Car-like Robots in Narrow Environments, In: Szakál, Anikó (szerk.) 2015 IEEE 13th International Symposium on Applied Machine Intelligence and Informatics, IEEE Hungary Section (2015) pp. 103-108.
type of document: Part of book/Proceedings Paper
number of independent citations: 9
language: English
URL 
Number of independent citations to these publications:82 
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
19
number of scientific publications:
19
monographs and professional books:
0
monographs/books in which chapters/sections were contributed:
0 
number of independent citations to scientific publications and creative works:
100

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )