Transporting objects by multiagent cooperation in crowd simulation

Chen, Hsuan; Wong, Sai‐Keung

doi:10.1002/cav.1826

Cited by 11 publications

(12 citation statements)

References 26 publications

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“…Likewise, there are some studies in the field of human movement and behavior that combine both technologies [46][47][48][49][50][51][52][53][54][55][56]. Within this line, the field of crowd simulation has also gained strength, and we also find some studies on it using VR and MAS [57][58][59][60][61][62][63][64][65][66][67][68]. This type of simulation has multiple purposes: planning emergency plans [69][70][71][72], improvement of the work environment [73][74][75][76][77][78], improvement of the educational environment [79][80][81][82][83][84][85][86], people training [87][88][89][90][91][92]…”

Section: Human Behaviormentioning

confidence: 93%

On the Synergy between Virtual Reality and Multi-Agent Systems

2021

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Multi-agent systems integrate a great variety of artificial intelligence techniques from different fields, these systems have made it possible to create intelligent systems more efficiently. On the other hand, virtual reality applications are accepted as viable techniques in different areas such as visualization, simulation, design, and research. The combined use of these two technologies has led to the development of realistic and interactive applications. This work aims to do a Systematic Mapping Study (SMS) relying on the guidelines of Kitchenham and Petersen to analyze the state of the art of VR applications using multi-agent systems. Inclusion and exclusion criteria have been applied to identify relevant papers, 82 articles were selected and categorized according to the publication type, the research type, the asset type, and the purpose of the work. A complete review of the 82 selected articles was performed, based on the research questions that were established. This review made it possible to clarify the open lines of research that exist and to know where research in this field can be directed.

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Section: Human Behaviormentioning

confidence: 93%

On the Synergy between Virtual Reality and Multi-Agent Systems

2021

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“…Thus, characters can be generated in regions with high or low density. We construct a noncollision map based on collision probability 29 that estimates the chance for noncollision over a time horizon. The main idea is that convolution is applied to spread the potential effect of characters around the nearby grid cells.…”

Section: System Overviewmentioning

confidence: 99%

A natural language interface with casual users for crowd animation

Liu

Wong

Chen

2020

Computer Animation & Virtual

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We develop an interface that bridges crowd simulation and natural language processing techniques so that casual users can produce crowd animation by text input. The interface adopts a parser and a tagger to analyze simple English sentences to convert them into intermediate data structures that encapsulate the essential elements of crowds. There are five stages: preprocessing, parsing input sentences, crowd generation, animation adjustment, and crowd animation. Our system supports basic behaviors including standing, walking, running, escaping, being attracted, and queuing. We conducted a user experience study to evaluate the interface. The results show that the interface is user-friendly for casual users to produce crowd animation. K E Y W O R D S crowd animation, interactive interface, natural language processing 2 RELATED WORK 2.1 Natural language processing Various types of models have been proposed for performing sequence tagging tasks (e.g., labeling each word of a sentence), such as linear statistical models 13 , 14 convolutional network based models, 15 and recurrent neural network models. 16 Our

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“…Transportation techniques have been proposed for objects of different shapes, such as arbitrary two‐dimensional convex shape, long rod shape, box shape, and disc shape . In computer animation, collaboration and cooperative behaviors are simulated, such as agents pushing boxes in crowd using collision probability fields, collective transport of ants, and ant colony . To successfully transport a passive object, agents should apply appropriate forces or move in proper speed to maneuver the passive object.…”

Section: Related Workmentioning

confidence: 99%

“…Agents and controllers. In the works of Chen and Wong and Wong et al, agents are controlled to transport passive objects. Motions of the agents are computed based on handcrafted rules.…”

Section: Related Workmentioning

confidence: 99%

“…In robotics, there are several ways to transport passive objects, such as pushing, caging, and case‐based manipulation . In virtual environments, virtual agents are simulated to transport passive objects by pushing, carrying, and pulling . Tandem compliant behaviors between agents and users in virtual environment simulations have great potential in applications such as training users in collaborative tasks such as team work skills in sports, mechanical operation, and motor coordination.…”

Section: Introductionmentioning

confidence: 99%

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Interaction with proactive and reactive agents in box manipulation tasks in virtual environments

Liu

Volonte

Hsu

et al. 2019

Computer Animation & Virtual

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This paper studies the user collaboration experience with proactive and reactive agents in transporting boxes in virtual environments. Two main characters, the avatar and the agent, are controlled by a user and a controller, respectively. The user and the agent communicate with each other by voice. The agent can be proactive or reactive. The user follows the instruction issued by the proactive agent, whereas the user instructs the reactive agent to perform actions. The goal is to transport boxes to goal positions with orientation constraints. We conducted a user study to analyze the behaviors of participants in several aspects, including task completion time, path length, control experience, and co‐presence experience. We report our findings and make suggestions for future development.

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Transporting objects by multiagent cooperation in crowd simulation

Cited by 11 publications

References 26 publications

On the Synergy between Virtual Reality and Multi-Agent Systems

On the Synergy between Virtual Reality and Multi-Agent Systems

A natural language interface with casual users for crowd animation

Interaction with proactive and reactive agents in box manipulation tasks in virtual environments

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