Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Amirhossein Tamjidi"'
Autor:
Dylan A. Shell, Suman Chakravorty, Reza Oftadeh, Dan Yu, Amirhossein Tamjidi, Mohamed Naveed Gul Mohamed
Publikováno v:
IEEE Transactions on Robotics. 37:1525-1538
This article presents and studies a recursive information consensus filter for decentralized dynamic state estimation under circumstances in which the communication network is unreliable. Local estimators are assumed to have access only to local info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::862b0b0e4b33e49b4775a34453cc2a81
https://doi.org/10.1109/tro.2021.3064102
https://doi.org/10.1109/tro.2021.3064102
Publikováno v:
Autonomous Robots. 44:321-338
We consider a scenario in which a process of interest, evolving within an environment occupied by several agents, is well-described probablistically via a Markov model. The agents each have local views and observe only some limited partial aspects of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::188125772a8efa0154530f33b5c31298
https://doi.org/10.1007/s10514-019-09854-3
https://doi.org/10.1007/s10514-019-09854-3
Publikováno v:
2021 IEEE Aerospace Conference (50100).
There are significant research challenges for design of a reliable mechanism of operation in autonomous multi-agent systems (MAS). This demands several fundamental advances in distributed localization, guidance, navigation, and state estimation. Cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f4a560d265a1eb3a971b9a303bd8694
https://doi.org/10.1109/aero50100.2021.9438414
https://doi.org/10.1109/aero50100.2021.9438414
Publikováno v:
Springer Proceedings in Advanced Robotics ISBN: 9783030430887
WAFR
WAFR
This paper presents a method for motion planning under uncertainty to resolve situations where ambiguous data associations result in a multimodal hypothesis on the robot state. Simultaneous localization and planning for a lost (or kidnapped) robot re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86f9ccc4ee01c18a4be6515a2d043366
https://doi.org/10.1007/978-3-030-43089-4_19
https://doi.org/10.1007/978-3-030-43089-4_19
Publikováno v:
IEEE Transactions on Automation Science and Engineering. 12:1169-1180
This paper presents a 6-DOF Pose Estimation (PE) method for a Robotic Navigation Aid (RNA) for the visually impaired. The RNA uses a single 3D camera for PE and object detection. The proposed method processes the camera's intensity and range data to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7e7b92ebced4c535c5f66e5f24b2f9a
https://doi.org/10.1109/tase.2015.2469726
https://doi.org/10.1109/tase.2015.2469726
Publikováno v:
MRS
This paper presents a new recursive Hybrid consensus filter for distributed state estimation on a Hidden Markov Model (HMM), which is well suited to multirobot applications and settings. The proposed algorithm is scalable, robust to network failure a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::890a7377850f476f7d77f7cad1916f60
https://doi.org/10.1109/mrs.2017.8250939
https://doi.org/10.1109/mrs.2017.8250939
Publikováno v:
2017 5th RSI International Conference on Robotics and Mechatronics (ICRoM).
Multi-goal motion planning under motion and sensor uncertainty is the problem of finding a reliable policy for visiting a set of goal points. In this paper, the problem is formulated as a formidable traveling salesman problem in the belief space. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::781d89c36e0877c2c70c54f3d251e08b
https://doi.org/10.1109/icrom.2017.8466202
https://doi.org/10.1109/icrom.2017.8466202
Publikováno v:
IROS
This paper presents a new recursive information consensus filter for decentralized dynamic-state estimation. Local estimators are assumed to have access only to local information and no structure is assumed about the topology of the communication net
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::732949864b30c0e4e2f6e123d9d6b5f3
https://doi.org/10.1109/iros.2016.7759044
https://doi.org/10.1109/iros.2016.7759044
Publikováno v:
IFAC Proceedings Volumes. 41:14657-14662
Presented method in this paper aims to develop an accurate motion model and SLAM algorithm, which is only based on the Laser Range Finder (LRF) data. Proposed method tries to overcome some practical problems in traditional motion models and SLAM appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b994b900979dd3c487ad6e888220cb77
https://doi.org/10.3182/20080706-5-kr-1001.02482
https://doi.org/10.3182/20080706-5-kr-1001.02482