Zooids

Goc, Mathieu Le; Kim, Lawrence H.; Parsaei, Ali; Fekete, Jean-Daniel; Dragicevic, Pierre; Follmer, Sean

doi:10.1145/2984511.2984547

Cited by 195 publications

(66 citation statements)

References 80 publications

(68 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The idea behind the open-source swarm robotics platform Zooids 18 is different: It handles both the interaction and the display, and thus offers a new class of human-computer interfaces. The swarm is controlled via light patterns projected using an overhead projector (Le Goc et al, 2016). The APIS 19 (Adaptable Platform for Interactive Swarm) comprises several components: the swarm robotic platforms, the infrastructure and test environment for the swarm, and the software infrastructure and simulation (Dhanaraj et al, 2019).…”

Section: Terrestrialmentioning

confidence: 99%

Swarm Robotic Behaviors and Current Applications

et al. 2020

View full text Add to dashboard Cite

In swarm robotics multiple robots collectively solve problems by forming advantageous structures and behaviors similar to the ones observed in natural systems, such as swarms of bees, birds, or fish. However, the step to industrial applications has not yet been made successfully. Literature is light on real-world swarm applications that apply actual swarm algorithms. Typically, only parts of swarm algorithms are used which we refer to as basic swarm behaviors. In this paper we collect and categorize these behaviors into spatial organization, navigation, decision making, and miscellaneous. This taxonomy is then applied to categorize a number of existing swarm robotic applications from research and industrial domains. Along with the classification, we give a comprehensive overview of research platforms that can be used for testing and evaluating swarm behavior, systems that are already on the market, and projects that target a specific market. Results from this survey show that swarm robotic applications are still rare today. Many industrial projects still rely on centralized control, and even though a solution with multiple robots is employed, the principal idea of swarm robotics of distributed decision making is neglected. We identified mainly following reasons: First of all, swarm behavior emerging from local interactions is hard to predict and a proof of its eligibility for applications in an industrial context is difficult to provide. Second, current communication architectures often do not match requirements for swarm communication, which often leads to a system with a centralized communication infrastructure. Finally, testing swarms for real industrial applications is an issue, since deployment in a productive environment is typically too risky and simulations of a target system may not be sufficiently accurate. In contrast, the research platforms present a means for transforming swarm robotics solutions from theory to prototype industrial systems.

show abstract

Section: Terrestrialmentioning

confidence: 99%

Swarm Robotic Behaviors and Current Applications

et al. 2020

View full text Add to dashboard Cite

show abstract

“…No work has explored data physicalizations that are both dynamic and fully composite, with the exception of a preliminary exploration by the authors of this article [54], which we discuss next.…”

Section: Data Physicalizationmentioning

confidence: 99%

Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

Goc

Périn²,

Follmer

et al. 2019

IEEE Trans. Visual. Comput. Graphics

Self Cite

View full text Add to dashboard Cite

This paper introduces dynamic composite physicalizations, a new class of physical visualizations that use collections of self-propelled objects to represent data. Dynamic composite physicalizations can be used both to give physical form to well-known interactive visualization techniques, and to explore new visualizations and interaction paradigms. We first propose a design space characterizing composite physicalizations based on previous work in the fields of Information Visualization and Human Computer Interaction. We illustrate dynamic composite physicalizations in two scenarios demonstrating potential benefits for collaboration and decision making, as well as new opportunities for physical interaction. We then describe our implementation using wheeled micro-robots capable of locating themselves and sensing user input, before discussing limitations and opportunities for future work.

show abstract

“…In the same vein, Zhao et al presented small cubical robots that self-assemble to create tangible proxies for tangible interaction and virtual reality [59]. This work is based on Zooids, a swarm user interface, that also illustrates the concept of molecular interfaces [24].…”

Section: Related Workmentioning

confidence: 99%

PickCells

Goguey

Steer

Lucero

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Illustration of the PickCells concept. Using her PickCells device (a) composed of small cubical cells, Eve can: b) snap-off cells to create a remote control while watching her movie; c) reorganise some cells to unlock her device by inputting a physical password; d) shape her device into a controller to comfortably play video games; e) snap-off a cell from her device, set it to control her smart light bulb and leave it in the living room so the whole family can control the bulb; and f) share one of her cell to show her vacation pictures on her friend's device.

show abstract

Zooids

Abstract: Figure 1. Zooids can be held as tokens, manipulated collectively or individually, behave as physical pixels, act as handles and controllers, and can move dynamically under machine control. They are building blocks for a new class of user interface we call swarm user interfaces.

Cited by 195 publications

References 80 publications

Swarm Robotic Behaviors and Current Applications

Swarm Robotic Behaviors and Current Applications

Dynamic Composite Data Physicalization Using Wheeled Micro-Robots

PickCells

Contact Info

Product

Resources

About