Towards the automatic observation and evaluation of ethologically inspired Human-Robot Interaction

Vincze, David; Gácsi, Márta; Kovács, Szilveszter; Köröndi, Péter; Miklósi, Ádám; Niitsuma, Mihoko

doi:10.1109/aim46487.2021.9517561

Cited by 6 publications

(1 citation statement)

References 21 publications

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“…When a logically similar experiment was carried out with a virtual agent simulating attachment between a dog and its owner in 2D (Vincze et al 2021), optimal functioning that corresponded to the natural situation required the introduction of a lot more novel computational rules than assumed at the start of the investigation.…”

Section: The Proof Of the Pudding Is The Eatingmentioning

confidence: 99%

After 150 years of watching: is there a need for synthetic ethology?

Abdai

Miklósi

2022

Anim Cogn

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The Darwinian idea of mental continuity is about 150 years old. Although nobody has strongly denied this evolutionary link, both conceptually and practically, relative slow advance has been made by ethology and comparative psychology to quantify mental evolution. Debates on the mechanistic interpretation of cognition often struggle with the same old issues (e.g., associationism vs cognitivism), and in general, experimental methods have made also relative slow progress since the introduction of the puzzle box. In this paper, we illustrate the prevailing issues using examples on ‘mental state attribution’ and ‘perspective taking” and argue that the situation could be improved by the introduction of novel methodological inventions and insights. We suggest that focusing on problem-solving skills and constructing artificial agents that aim to correspond and interact with biological ones, may help to understand the functioning of the mind. We urge the establishment of a novel approach, synthetic ethology, in which researchers take on a practical stance and construct artificial embodied minds relying of specific computational architectures the performance of which can be compared directly to biological agents.

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Section: The Proof Of the Pudding Is The Eatingmentioning

confidence: 99%

After 150 years of watching: is there a need for synthetic ethology?

Abdai

Miklósi

2022

Anim Cogn

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Deep Learning-Based Recognition and Analysis of Limb-Independent Dog Behavior for Ethorobotical Application

Nagy

Köröndi²

2022

IEEE Access

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This paper presents a Behavior Transfer System (BTS) to model the behavior patterns of dogs and make it possible to implement the behavior patterns on mobile robots. The system relies on an iSpace based measurement system and a deep learning prediction algorithm. With the help of the measurement system, ethological measurements can be automatized to eliminate human coding errors and make the data collection process more robust and consistent. The trained neural networks have a dual purpose. First, the neural networks can be utilized to analyze ethological measurements and predict different behavior patterns of the dog. Test results show that the implemented neural networks can effectively predict the attention of the dog with 88% accuracy, the tail waging with 82% accuracy, and the contact seeking behavior with 88% accuracy. Second, implementing the neural networks previously trained on dogs can serve as a robot operational behavioral model which mimics the behavior pattern of a dog after an adequate mathematical abstraction that maps the movements of the dog into a robot movement set. The presented method of this paper can be applied to automatize the behavior coding work of ethologists and the trained neural network can be used as an abstract robot behavior control module.

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An Agent Based Simulator on ROS for Fuzzy Behavior Description Language (FBDL)

Bartók,

Toronya

2024

2024 25th International Carpathian Control Conference (ICCC)

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Towards the automatic observation and evaluation of ethologically inspired Human-Robot Interaction

Cited by 6 publications

References 21 publications

After 150 years of watching: is there a need for synthetic ethology?

After 150 years of watching: is there a need for synthetic ethology?

Deep Learning-Based Recognition and Analysis of Limb-Independent Dog Behavior for Ethorobotical Application

An Agent Based Simulator on ROS for Fuzzy Behavior Description Language (FBDL)

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