Naslov
Human Intention Recognition Based on Markov Decision Processes

Autori
Petković, Tomislav

Vrsta, podvrsta i kategorija rada
Ocjenski radovi, diplomski rad, diplomski

Fakultet
Fakultet elektrotehnike i računarstva

Mjesto
Zagreb

Datum
17.07

Godina
2017

Stranica
35

Mentor
Marković, Ivan

Ključne riječi
human intention recognition ; Markov decision processes ; hidden Markov model ; Theory of Mind

Sažetak
The rapid growth of e-commerce increases the need for larger warehouses and their automation, thus using robots as assistants to human workers becomes a priority. In order to operate efficiently and safely, robot assistants or the supervising system should recognize human intentions. Theory of mind (ToM) is an intuitive conception of other agents’ mental state, i.e., beliefs and desires, and how they cause behavior. In this paper we present a ToM-based algorithm for human intention recognition in flexible robotized warehouses. We have placed the warehouse worker in a simulated 2D environment with three potential goals. We observe agent’s actions and validate them with respect to the goal locations using a Markov decision process framework. Those observations are then processed by the proposed hidden Markov model framework which estimated agent’s desires. We demonstrate that the proposed framework predicts human warehouse worker’s desires in an intuitive manner and in the end we discuss the simulation results, future work and SafeLog integration.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Temeljne tehničke znanosti

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