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pro vyhledávání: '"Loutfi Amy"'
Designing effective reward functions is crucial to training reinforcement learning (RL) algorithms. However, this design is non-trivial, even for domain experts, due to the subjective nature of certain tasks that are hard to quantify explicitly. In r
Externí odkaz:
http://arxiv.org/abs/2406.01309
Publikováno v:
Paladyn, Vol 4, Iss 3, Pp 174-181 (2013)
Mobile Robotic Telepresence (MRP) helps people to communicate in natural ways despite being physically located in different parts of the world. User interfaces of such systems are as critical as the design and functionality of the robot itself for cr
Externí odkaz:
https://doaj.org/article/6a43f5b61f3a47cba7f3cee6f9b16e57
Publikováno v:
Paladyn, Vol 4, Iss 1, Pp 34-48 (2013)
The field of mobile robotic telepresence for social communication is in rapid expansion and it is of interest to understand what promotes good interaction. In this paper, we present the results of an experiment where novice users working in health ca
Externí odkaz:
https://doaj.org/article/19b9a3e95f4341ecbad5225b004f7b08
Publikováno v:
In Urban Forestry & Urban Greening July 2024 97
Caregivers in eldercare can benefit from telepresence robots that allow them to perform a variety of tasks remotely. In order for such robots to be operated effectively and efficiently by non-technical users, it is important to examine if and how the
Externí odkaz:
http://arxiv.org/abs/2107.09992
Safety in human-robot interaction can be divided into physical safety and perceived safety, where the latter is still under-addressed in the literature. Investigating perceived safety in human-robot interaction requires a multidisciplinary perspectiv
Externí odkaz:
http://arxiv.org/abs/2106.05854
Publikováno v:
In Applied Computing and Geosciences March 2024 21
In a pandemic contact between humans needs to be avoided wherever possible. Robots can take over an increasing number of tasks to protect people from being exposed to others. One such task is the disinfection of environments in which infection spread
Externí odkaz:
http://arxiv.org/abs/2102.01551
Autor:
Loutfi Amy, Kiselev Andrey
Publikováno v:
Paladyn, Vol 4, Iss 2, Pp 1-1 (2013)
Externí odkaz:
https://doaj.org/article/a5a9e2225d4f44118fc5a627b4a3f7f2
Autor:
Akalin, Neziha, Loutfi, Amy
This article surveys reinforcement learning approaches in social robotics. Reinforcement learning is a framework for decision-making problems in which an agent interacts through trial-and-error with its environment to discover an optimal behavior. Si
Externí odkaz:
http://arxiv.org/abs/2009.09689