Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Kyunghoon Cho"'
Publikováno v:
IEEE Access, Vol 12, Pp 133509-133520 (2024)
Percutaneous coronary intervention (PCI) is an effective treatment for normalizing blood flow in coronary arteries narrowed by stent implantation. Guidewire insertion during PCI requires considerable precision and expertise, and two X-ray videos, a c
Externí odkaz:
https://doaj.org/article/896036de53de4840ba3a046a8f88ee7a
Publikováno v:
IEEE Access, Vol 12, Pp 57410-57423 (2024)
This paper presents a novel deep learning framework for robotic path planning that seamlessly integrates Linear Temporal Logic (LTL) with trajectory optimization to meet mission specifications efficiently. Our approach innovates on several fronts: Fi
Externí odkaz:
https://doaj.org/article/cc2f7cfae7b549ff9a0557428bbbb508
Publikováno v:
IEEE Access, Vol 12, Pp 13260-13276 (2024)
This paper proposes a novel, reactive control scheme for autonomous vehicles that fulfills mission specifications as defined by Linear Temporal Logic (LTL) formulas. Our method designs a point-to-point local planner utilizing control Lyapunov functio
Externí odkaz:
https://doaj.org/article/c082d80ab8684e109600e5c859c0365d
Autor:
Kyoungho Lee, Kyunghoon Cho
Publikováno v:
IEEE Access, Vol 12, Pp 7704-7718 (2024)
This paper introduces an innovative deep learning framework for robotic path planning. This framework addresses two fundamental challenges: (1) integration of mission specifications defined through Linear Temporal Logic (LTL), and (2) enhancement of
Externí odkaz:
https://doaj.org/article/32613d4641e64c20b5d30f953fce4d22
Publikováno v:
Sensors, Vol 24, Iss 14, p 4567 (2024)
This paper presents a control strategy synthesis method for dynamical systems with differential constraints, emphasizing the prioritization of specific rules. Special attention is given to scenarios where not all rules can be simultaneously satisfied
Externí odkaz:
https://doaj.org/article/4326f5a4b33444358f521a206a91a3a4
Autor:
Changmin Baek, Kyunghoon Cho
Publikováno v:
Sensors, Vol 24, Iss 10, p 2998 (2024)
The presented paper introduces a novel path planning algorithm designed for generating low-cost trajectories that fulfill mission requirements expressed in Linear Temporal Logic (LTL). The proposed algorithm is particularly effective in environments
Externí odkaz:
https://doaj.org/article/726e23dedf3e4a03b1656f6b0cdc2fc6
Autor:
Kyunghoon Cho
Publikováno v:
IEEE Access, Vol 11, Pp 25865-25878 (2023)
This paper presents a path planning algorithm for efficiently generating low-cost trajectories that meet mission requirements specified in Linear Time Logic (LTL), where cost functions are defined throughout the configuration space. The main idea of
Externí odkaz:
https://doaj.org/article/79f1fa442e2b4e7f85989036a11e4701
Autor:
Kyunghoon Cho
Publikováno v:
IEEE Access, Vol 10, Pp 74815-74824 (2022)
Understanding the movement of surrounding objects and controlling robot platforms (such as autonomous vehicles and social robots) in a safe way are challenging problems. In the autonomous driving problem, autonomous vehicles must take into account th
Externí odkaz:
https://doaj.org/article/2aa0606b79864624a25a25d853391422
Autor:
Yuri Kim, Myung Ho Jeong, Minjeong An, Kyunghoon Cho, Youngjoon Hong, Juhan Kim, Youngkeun Ahn
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0278993 (2023)
Background and objectivesTo compare the long-term clinical outcomes of dual antiplatelet therapy (DAPT) with clopidogrel and DAPT with ticagrelor or prasugrel in patients with acute myocardial infarction (AMI) who underwent coronary intervention.Meth
Externí odkaz:
https://doaj.org/article/d044d907bcbe486aaeab8322fd305580
Publikováno v:
IEEE Transactions on Automatic Control. 66:5816-5829
This paper introduces a robust and safe path planning algorithm in order to satisfy mission requirements specified in linear temporal logic (LTL). When a path is planned to accomplish a mission, it is possible for a robot to fail to complete the miss
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c17cf247d8ae3bae9a707acdf73cb83d
https://doi.org/10.1109/tac.2020.3044273
https://doi.org/10.1109/tac.2020.3044273