Behavior generation in robots by emotional motivation

Izumi, K.; Banik, Sajal Chandra; Watanabe, Keigo

doi:10.1109/isie.2009.5214718

Cited by 6 publications

(4 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In general, works [9,10,11,12,13,16,44] are closely related to our work in the aspect of including emotions in multi-robot systems, but with different purposes and through the application of different techniques. Our contribution focuses on the use of emotions in order to facilitate the appearance of emergent phenomena.…”

Section: Robustness Of Our Model and Comparison With Other Workmentioning

confidence: 93%

“…For example, in [6], the authors propose a robot swarm based on the bee hive for food gathering. The inclusion of emotions in multi-robot systems has been considered in several works [9,10,11,12,13,16,44], in the context of the decision making of each robot. The previous works have not mixed the analysis of the emergent and self-organized behaviors in multi-robot systems with emotions.…”

Section: Robustness Of Our Model and Comparison With Other Workmentioning

confidence: 99%

See 1 more Smart Citation

An emotional model for swarm robotics

Gil¹,

Puerto²,

Aguilar³

et al. 2019

CLEIej

View full text Add to dashboard Cite

Swarm robotics is a system of multiple robots where a desired collective behavior emerges from the interactions between the robots and with the environment. This paper proposes an emotional model for the robots, to allow emerging behaviors. The emotional model uses four universal emotions: anger, disgust, sadness, and joy, assigned to each robot based on the level of satisfaction of its basic needs. These emotions lie on a spectrum where depending where the emotion of the robot lies, can affect its behavior and of its neighboring robots. The more negative the emotion is, the more individualistic it becomes in its decisions. The more positive the robot is in its emotion, the more it will consider the group and global goals. Each robot is able to recognize another robot's emotion in the system based on their current state, using the AR2P recognition algorithm. Specifically, the paper addresses emotions’ influence on the behavior of the system, at the individual and collective levels, and the emotions’ effects on the emergent behaviors of the multi-robot system. The paper analyses two emergent scenarios: nectar harvesting and object transportation, and shows the importance of the emotions into the emergent behavior in a multi-robot system

show abstract

Section: Robustness Of Our Model and Comparison With Other Workmentioning

confidence: 93%

Section: Robustness Of Our Model and Comparison With Other Workmentioning

confidence: 99%

An emotional model for swarm robotics

Gil¹,

Puerto²,

Aguilar³

et al. 2019

CLEIej

View full text Add to dashboard Cite

show abstract

“…External stimuli include all stimuli that do not contain emotional information such as the distance from a wall or other perceived features [35]. External stimuli also include goals and tasks of a system, such as a robot's list of objectives [36]. External emotion primarily contains recognition of a human's emotions, such as through voice input [37], but can also contain content that has been preassigned an emotion externally before use with the robot, such as emotionally tagged images [30].…”

Section: Step 3: Emotional Codingmentioning

confidence: 99%

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Savery¹,

Weinberg²

2020

Preprint

View full text Add to dashboard Cite

As emotion plays a growing role in robotic research it is crucial to develop methods to analyze and compare among the wide range of approaches. To this end we present a survey of 1427 IEEE and ACM publications that include robotics and emotion. This includes broad categorizations of trends in emotion input analysis, robot emotional expression, studies of emotional interaction and models for internal processing. We then focus on 232 papers that present internal processing of emotion, such as using a humans emotion for better interaction or turning environmental stimuli into an emotional drive for robotic path planning. We conducted constant comparison analysis of the 232 papers and arrived at three broad categorization metrics -emotional intelligence, emotional model and implementation -each including two or three subcategories. The subcategories address the algorithm used, emotional mapping, history, the emotional model, emotional categories, the role of emotion, the purpose of emotion and the platform. Our results show a diverse field of study, largely divided by the role of emotion in the system, either for improved interaction, or improved robotic performance. We also present multiple future opportunities for research and describe intrinsic challenges common in all publications.

show abstract

“…It may be that the issue of writing programs with affective intelligence can be productively addressed using software desonification. Emotions in artificial intelligence programming are often seen as a form of underlying motivational subsystem (Izumi et al 2009). So one approach to software desonification would be to generate the program structure using similar ideas already discussed in the structure section earlier and then to generate a motivational subsystem through the emotional content of the music.…”

Section: Other Possible Desonification Elements For Programmingmentioning

confidence: 99%

Toward a Musical Programming Language

Kirke

2017

Guide to Unconventional Computing for Music

View full text Add to dashboard Cite

This chapter introduces the concept of programming using music, also known as tone-based programming (TBP). There has been much work on using music and sound to debug code, and also as a way of help people with sight problems to use development environments. This chapter, however, focuses on the use of music to actually create program code, or the use of music as program code. The issues and concepts of TBP are introduced by describing the development of the programming language IMUSIC.

show abstract

Behavior generation in robots by emotional motivation

Cited by 6 publications

References 13 publications

An emotional model for swarm robotics

An emotional model for swarm robotics

A Survey of Robotics and Emotion: Classifications and Models of Emotional Interaction

Toward a Musical Programming Language

Contact Info

Product

Resources

About