Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Affan Shaukat"'
Publikováno v:
Sensors, Vol 16, Iss 11, p 1952 (2016)
In recent decades, terrain modelling and reconstruction techniques have increased research interest in precise short and long distance autonomous navigation, localisation and mapping within field robotics. One of the most challenging applications is
Externí odkaz:
https://doaj.org/article/7987fdf563f54a7192f5413def65dd17
Autor:
Elisa Cucco, Michael Fisher, Thomas Robinson, Louise A. Dennis, Paul E. Mort, Jeffrey A. Kuo, Yang Gao, Sandor M. Veres, Jonathan M. Aitken, Affan Shaukat
Publikováno v:
IEEE INTELLIGENT SYSTEMS
Redundant and non-operational buildings at nuclear sites are decommissioned over a period of time. The process involves demolition of physical infrastructure resulting in large quantities of residual waste material. The resulting waste materials are
Publikováno v:
Journal of Field Robotics. 33:229-242
Planetary monocular simultaneous localization and mapping PM-SLAM, a modular, monocular SLAM system for use in planetary exploration, is presented. The approach incorporates a biologically inspired visual saliency model i.e., semantic feature detecti
Publikováno v:
IEEE Transactions on Cybernetics. 43:155-169
Perception-action (P-A) learning is an approach to cognitive system building that seeks to reduce the complexity associated with conventional environment-representation/action-planning approaches. Instead, actions are directly mapped onto the percept
Publikováno v:
Hollnagel, E, Windridge, D & Shaukat, A 2013, ' Characterizing driver intention via hierarchical perception-action modeling ', I E E E Transactions on Human-Machine Systems, vol. 43, no. 1, 6340046, pp. 17-31 . https://doi.org/10.1109/TSMCA.2012.2216868
We seek a mechanism for the classification of the intentional behavior of a cognitive agent, specifically a driver, in terms of a psychological Perception-Action (P-A) model, such that the resulting system would be potentially suitable for use in int
This paper proposes a novel object detection method based on the visual saliency model in order to reliably detect objects such as rocks from single monocular planetary images. The algorithm takes advantage of the relatively homogeneous and distinct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::132fddd80050998f83f6db4bec8aaf20
https://surrey.eprints-hosting.org/812947/
https://surrey.eprints-hosting.org/812947/
Publikováno v:
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 11; Pages: 1952
Sensors, Vol 16, Iss 11, p 1952 (2016)
Sensors; Volume 16; Issue 11; Pages: 1952
Sensors, Vol 16, Iss 11, p 1952 (2016)
In recent decades, terrain modelling and reconstruction techniques have increased research interest in precise short and long distance autonomous navigation, localisation and mapping within field robotics. One of the most challenging applications is
Autor:
Owen McAree, Sandor M. Veres, Katie Atkinson, Louise A. Dennis, Jonathan M. Aitken, Yang Gao, Elisa Cucco, Michael Fisher, Affan Shaukat, Joe Collenette, Maryam Kamali
Publikováno v:
Towards Autonomous Robotic Systems conference (TAROS 2016)
TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, TAROS 2016
Towards Autonomous Robotic Systems ISBN: 9783319403786
TAROS
TOWARDS AUTONOMOUS ROBOTIC SYSTEMS, TAROS 2016
Towards Autonomous Robotic Systems ISBN: 9783319403786
TAROS
We report on experiences in the development of hybrid autonomous systems where high-level decisions are made by a rational agent. This rational agent interacts with other sub-systems via an abstraction engine. We describe three systems we have develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3c1cd1c21d2842c5f79db9c123c24ff
Publikováno v:
Studies in Computational Intelligence ISBN: 9783319333847
Advanced automation requires complex robotic systems that are susceptible to mechanical, software and sensory failures. While bespoke solutions exist to avoid such situations, there is a requirement to develop generic robotic framework that can allow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cd21c565aae508d3e24cf79a2e75ae2
https://doi.org/10.1007/978-3-319-33386-1_7
https://doi.org/10.1007/978-3-319-33386-1_7
Publikováno v:
2015 SAI Intelligent Systems Conference (IntelliSys).
This paper proposes a generic approach towards combining fuzzy logic and ontology-based deliberative reasoning to enable self-reconfigurability within a distributed system architecture. An Ontology-based rational agent uses outputs from a fuzzy infer