Application of social constraints for dynamic navigation considering semantic annotations on geo-referenced maps

Vilasboas, João; Sampaio, Marcelo Sa Coqueiro; Moreira, Giovane Fernandes; Souza, Adriel Bastos; Díaz-Amado, José; Barrios-Aranibar, Dennis; Cardinale, Yudith; Soares, Joao Erivando

doi:10.1109/iecon48115.2021.9589235

Cited by 4 publications

(8 citation statements)

References 27 publications

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“…The work presented in [7], proposes GProxemic, a proxemic navigation system that receives an IP address and is able to define the localization and the environment the robot is as well as the correct proxemic zones to be respected.…”

Section: Related Workmentioning

confidence: 99%

“…As a result, several adaptations to new environments are necessary, which can make robots more complex and with new capabilities. In addition, it is important that robots understand human behavior and the characteristics of environments, using different tools, such as GProxemic Navigation [7], which delimits the proxemic zone according to the characteristics of the environment, and Dialogflow, which works with natural language processing. These particularities improve the HRI, as they provide the ability to analyze speech, being able to obey voice commands, such as in [8,9,10], and the capacity of respecting social constraints during robots' navigation (i.e., social navigation).…”

Section: Introductionmentioning

confidence: 99%

“…The way a robot moves reflects its intelligence and delineates its social acceptance, in terms of the perceived safety, comfort, and legibility. Thus, researchers are focusing on making robots to act naturally, by considering people and trying to generate some feeling, recognizing emotions, showing implicit and explicit social patterns, and considering social places and its characteristics [18,19,20,7]. In this context, we propose a proxemic aware social navigation system for an autonomous wheelchair to respond to voice commands that indicate a new location in the environment.…”

Section: Introductionmentioning

confidence: 99%

“…In this context, we propose a proxemic aware social navigation system for an autonomous wheelchair to respond to voice commands that indicate a new location in the environment. This social navigation system is integrated into GProxemic Navigation system [7], which is able to identify the robot's localization (the autonomous wheelchair, for this work) and respect the people proxemic zones according to the environment characteristics.…”

Section: Introductionmentioning

confidence: 99%

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Social Aware Navigation Based on Proxemic Interaction for an Autonomous Wheelchair

Fernandes¹,

Leite²,

Díaz-Amado

et al. 2023

Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)

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Social robotics is an increasing area that has boosted the integration of robots and people in common environments. Thus, new human-robot interaction (HRI) techniques have emerged to make robots behave in acceptable and social ways. Proxemic interaction is one of these new techniques, that dictates the interaction between people and devices based on distance, which in turn defines proxemic zones. In this sense, robots must respect the proxemic zones of people around them, while navigating in the shared spaces. In this work, we propose a social aware navigation system based on proxemic that responds to voice commands integrated with a chatbot to define path planning for a wheelchair, in around a crowded environment. This social navigation system is integrated into GProxemic Navigation, a system that automatically provides the robot location and decides the proxemic zones of people that robots (an autonomous wheelchair, for this work) must not transverse during their navigation, according to the environment characteristics. With this implementation, the autonomous wheelchair can be driven to make the most efficient path respecting the social constraints of the environment

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Social Aware Navigation Based on Proxemic Interaction for an Autonomous Wheelchair

Fernandes¹,

Leite²,

Díaz-Amado

et al. 2023

Workshop Proceedings of the 19th International Conference on Intelligent Environments (IE2023)

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show abstract

“…These dynamic obstacles, as people, have properties: velocity or directions. Other works developed different social features that could be considered for path planning such as [20][21][22][23].…”

Section: Related Workmentioning

confidence: 99%

A New Approach for Including Social Conventions into Social Robots Navigation by Using Polygonal Triangulation and Group Asymmetric Gaussian Functions

Sousa

Barrios-Aranibar

Díaz-Amado

et al. 2022

Sensors

Self Cite

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Many authors have been working on approaches that can be applied to social robots to allow a more realistic/comfortable relationship between humans and robots in the same space. This paper proposes a new navigation strategy for social environments by recognizing and considering the social conventions of people and groups. To achieve that, we proposed the application of Delaunay triangulation for connecting people as vertices of a triangle network. Then, we defined a complete asymmetric Gaussian function (for individuals and groups) to decide zones where the robot must avoid passing. Furthermore, a feature generalization scheme called socialization feature was proposed to incorporate perception information that can be used to change the variance of the Gaussian function. Simulation results have been presented to demonstrate that the proposed approach can modify the path according to the perception of the robot compared to a standard A* algorithm.

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Human-Robot Autonomous System: An Interactive Architecture

Moreira,

Leite,

Díaz-Amado

et al. 2024

Synergetic Cooperation Between Robots and Humans

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Application of social constraints for dynamic navigation considering semantic annotations on geo-referenced maps

Cited by 4 publications

References 27 publications

Social Aware Navigation Based on Proxemic Interaction for an Autonomous Wheelchair

Social Aware Navigation Based on Proxemic Interaction for an Autonomous Wheelchair

A New Approach for Including Social Conventions into Social Robots Navigation by Using Polygonal Triangulation and Group Asymmetric Gaussian Functions

Human-Robot Autonomous System: An Interactive Architecture

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