Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Geesara Kulathunga"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract This paper presents a technique to model the residual dynamics between a high-level planner and a low-level controller by considering reference trajectory tracking in a cluttered environment as an example scenario. We focus on minimising res
Externí odkaz:
https://doaj.org/article/9b2410a1b77b4d48b63cfcdf1054cbb3
Autor:
Geesara Kulathunga, Alexandr Klimchik
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5237 (2023)
In general, optimal motion planning can be performed both locally and globally. In such a planning, the choice in favor of either local or global planning technique mainly depends on whether the environmental conditions are dynamic or static. Hence,
Externí odkaz:
https://doaj.org/article/b9d518b4416f4903bb567dd32648216b
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5756 (2022)
This paper aims to develop a multi-rotor-based visual tracker for a specified moving object. Visual object-tracking algorithms for multi-rotors are challenging due to multiple issues such as occlusion, quick camera motion, and out-of-view scenarios.
Externí odkaz:
https://doaj.org/article/33500fca3c8d45f5a1e26e284dbd95fb
Autor:
Diksha Moolchandani, Kishore Yadav, Geesara Kulathunga, Ilya Afanasyev, Anshul Kumar, Manuel Mazzara, Smruti Sarangi
Publikováno v:
ACM Transactions on Cyber-Physical Systems. 6:1-29
Present-day path planning algorithms for UAVs rely on various parameters that need to be tuned at runtime to be able to plan the best possible route. For example, for a sampling-based algorithm, the number of samples plays a crucial role. The dimensi
Publikováno v:
Journal of Field Robotics. 39:1001-1011
Autor:
Д.B. Trihleb, Geesara Kulathunga
Publikováno v:
Mathematical Methods in Technologies and Technics. :27-30
The goal of this paper is to develop a continuous optimization-based refinement of the reference trajectory to 'push it out' of the obstacle-occupied space in the global phase for Multi-rotor Aerial Vehicles in unknown environments. Our proposed appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d13a7f7462895660768ea8e50d229b51
http://arxiv.org/abs/2202.06056
http://arxiv.org/abs/2202.06056
We present an optimization-based reference trajectory tracking method for quadrotor robots for slow-speed maneuvers. The proposed method uses planning followed by the controlling paradigm. The basic concept of the proposed method is an analogy to Lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::523631e33d77d9dbc967eda6ed861319
https://doi.org/10.21203/rs.3.rs-963714/v2
https://doi.org/10.21203/rs.3.rs-963714/v2
Publikováno v:
2021 International Conference "Nonlinearity, Information and Robotics" (NIR).
Autor:
Geesara Kulathunga
Optimal motion planning involves obstacles avoidance where path planning is the key to success in optimal motion planning. Due to the computational demands, most of the path planning algorithms can not be employed for real-time based applications. Mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::362461405054d0b36a362f905c485f60
http://arxiv.org/abs/2105.10342
http://arxiv.org/abs/2105.10342