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pro vyhledávání: '"Imrie, Calum"'
Empowering safe exploration of reinforcement learning (RL) agents during training is a critical impediment towards deploying RL agents in many real-world scenarios. Training RL agents in unknown, black-box environments poses an even greater safety ri
Externí odkaz:
http://arxiv.org/abs/2405.18180
Autor:
Carwehl, Marc, Imrie, Calum, Vogel, Thomas, Rodrigues, Genaína, Calinescu, Radu, Grunske, Lars
In its quest for approaches to taming uncertainty in self-adaptive systems (SAS), the research community has largely focused on solutions that adapt the SAS architecture or behaviour in response to uncertainty. By comparison, solutions that reduce th
Externí odkaz:
http://arxiv.org/abs/2401.17187
Autor:
Feng, Nick, Marsso, Lina, Yaman, Sinem Getir, Baatartogtokh, Yesugen, Ayad, Reem, de Mello, Victória Oldemburgo, Townsend, Beverley, Standen, Isobel, Stefanakos, Ioannis, Imrie, Calum, Rodrigues, Genaína Nunes, Cavalcanti, Ana, Calinescu, Radu, Chechik, Marsha
As software systems increasingly interact with humans in application domains such as transportation and healthcare, they raise concerns related to the social, legal, ethical, empathetic, and cultural (SLEEC) norms and values of their stakeholders. No
Externí odkaz:
http://arxiv.org/abs/2401.05673
Autonomous robots used in infrastructure inspection, space exploration and other critical missions operate in highly dynamic environments. As such, they must continually verify their ability to complete the tasks associated with these missions safely
Externí odkaz:
http://arxiv.org/abs/2303.08476
Autor:
Pasareanu, Corina S., Mangal, Ravi, Gopinath, Divya, Yaman, Sinem Getir, Imrie, Calum, Calinescu, Radu, Yu, Huafeng
Deep neural networks (DNNs) are increasingly used in safety-critical autonomous systems as perception components processing high-dimensional image data. Formal analysis of these systems is particularly challenging due to the complexity of the percept
Externí odkaz:
http://arxiv.org/abs/2302.04634
Autor:
Calinescu, Radu, Imrie, Calum, Mangal, Ravi, Rodrigues, Genaína Nunes, Păsăreanu, Corina, Santana, Misael Alpizar, Vázquez, Gricel
We present DeepDECS, a new method for the synthesis of correct-by-construction discrete-event controllers for autonomous systems that use deep neural network (DNN) classifiers for the perception step of their decision-making processes. Despite major
Externí odkaz:
http://arxiv.org/abs/2202.03360
Akademický článek
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Autor:
Imrie, Calum Corrie
Robotics is making significant strides in its capabilities and is being integrated into many real-world tasks. Some of these are carried out in unpredictable and dynamic environments, for example, search and rescue operations in a disaster area. Othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______463::44f20dec5f1ffe4f0acc73ae9dfce774
https://hdl.handle.net/1842/38282
https://hdl.handle.net/1842/38282
Akademický článek
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Autor:
Imrie, Calum, Herrmann, J. Michael
Publikováno v:
Imrie, C & Herrmann, J M 2017, Self-organisation of Spatial Behaviour in a Kilobot Swarm . in M Mangan, M Cutkosky, A Mura, P F M J Verschure, T Prescott & N Lepora (eds), Biomimetic and Biohybrid Systems : 6th International Conference, Living Machines 2017, Stanford, CA, USA, July 26--28, 2017, Proceedings . Lecture Notes in Computer Science, vol. 10384, Cham, pp. 551-561, The 6th International Conference on Biomimetic and Biohybrid Systems, Stanford, United States, 25/07/17 . https://doi.org/10.1007/978-3-319-63537-8_49
Applications of robotic swarms often face limitations in sensing and motor capabilities. We aim at providing evidence that the modest equipment of the individual robots can be compensated by the interaction within the swarm. If the robots, such as th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::db5f7b0ba9a1bc0465f7905463cfe28e
https://hdl.handle.net/20.500.11820/1615466e-9ceb-4ef0-9a18-e7e66f1b1b18
https://hdl.handle.net/20.500.11820/1615466e-9ceb-4ef0-9a18-e7e66f1b1b18