So You Think You Can Dance? Rhythmic Flight Performances with Quadrocopters

Schoellig, Angela P.; Siegel, Hallie; Augugliaro, Federico; D’Andrea, Raffaello

doi:10.1007/978-3-319-03904-6_4

Cited by 15 publications

(7 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other UAV applications include: solar panel inspection [ 266 , 267 ]; power line and tower inspections [ 268 , 269 ]; water quality monitoring [ 270 ]; magnetic field mapping [ 271 ]; load transportation [ 272 , 273 ]; contact inspection tasks [ 274 ]; road safety and traffic monitoring [ 275 , 276 , 277 ]; aerial photography and cinematography [ 278 ]; entertainment and aerial shows [ 279 , 280 , 281 , 282 ]; firefighting [ 283 , 284 , 285 ].…”

Section: Research Challengesmentioning

confidence: 99%

Towards Fully Autonomous UAVs: A Survey

Elmokadem

Savkin

2021

Sensors

View full text Add to dashboard Cite

Unmanned Aerial Vehicles have undergone rapid developments in recent decades. This has made them very popular for various military and civilian applications allowing us to reach places that were previously hard to reach in addition to saving time and lives. A highly desirable direction when developing unmanned aerial vehicles is towards achieving fully autonomous missions and performing their dedicated tasks with minimum human interaction. Thus, this paper provides a survey of some of the recent developments in the field of unmanned aerial vehicles related to safe autonomous navigation, which is a very critical component in the whole system. A great part of this paper focus on advanced methods capable of producing three-dimensional avoidance maneuvers and safe trajectories. Research challenges related to unmanned aerial vehicle development are also highlighted.

show abstract

Section: Research Challengesmentioning

confidence: 99%

Towards Fully Autonomous UAVs: A Survey

Elmokadem

Savkin

2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The intersection of robots and arts has become an active object of study as both researchers and artists push the boundaries of the traditional conceptions of different forms of art by making robotic agents dance (Nakazawa et al, 2002 ; LaViers et al, 2014 ; Bi et al, 2018 ), create music (Hoffman and Weinberg, 2010 ), support stage performances (Ackerman, 2014 ), create paintings (Lindemeier et al, 2013 ; Tresset and Leymarie, 2013 ), or become art exhibits by themselves (Dean et al, 2008 ; Dunstan et al, 2016 ; Jochum and Goldberg, 2016 ; Vlachos et al, 2018 ). On a smaller scale, the artistic possibilities of robotic swarms have also been explored in the context of choreographed movements to music (Ackerman, 2014 ; Alonso-Mora et al, 2014 ; Schoellig et al, 2014 ), emotionally expressive motions (Dietz et al, 2017 ; Levillain et al, 2018 ; St.-Onge et al, 2019 ; Santos and Egerstedt, 2020 ), or interactive music generation based on the interactions between agents (Albin et al, 2012 ), among others.…”

Section: Introductionmentioning

confidence: 99%

Interactive Multi-Robot Painting Through Colored Motion Trails

et al. 2020

View full text Add to dashboard Cite

In this paper, we present a robotic painting system whereby a team of mobile robots equipped with different color paints create pictorial compositions by leaving trails of color as they move throughout a canvas. We envision this system to be used by an external user who can control the concentration of different colors over the painting by specifying density maps associated with the desired colors over the painting domain, which may vary over time. The robots distribute themselves according to such color densities by means of a heterogeneous distributed coverage control paradigm, whereby only those robots equipped with the appropriate paint will track the corresponding color density function. The painting composition therefore arises as the integration of the motion trajectories of the robots, which lay paint as they move throughout the canvas tracking the color density functions. The proposed interactive painting system is evaluated on a team of mobile robots. Different experimental setups in terms of paint capabilities given to the robots highlight the effects and benefits of considering heterogeneous teams when the painting resources are limited.

show abstract

“…The work in [13] maps Laban's four Effort parameters to low degree of freedom robots for emotive expression. Others have focused on the development of expressive tools for choreography on quadrotors [16]. This work relates to a growing community of work to create expressive robotic systems [17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Laban-Inspired Task-Constrained Variable Motion Generation on Expressive Aerial Robots

2019

View full text Add to dashboard Cite

This paper presents a method for creating expressive aerial robots through an algorithmic procedure for creating variable motion under given task constraints. This work is informed by the close study of the Laban/Bartenieff movement system, and movement observation from this discipline will provide important analysis of the method, offering descriptive words and fitting contexts—a choreographic frame—for the motion styles produced. User studies that use utilize this qualitative analysis then validate that the method can be used to generate appropriate motion in in-home contexts. The accuracy of an individual descriptive word for the developed motion is up to 77% and context accuracy is up to 83%. A capacity for state discernment from motion profile is essential in the context of projects working toward developing in-home robots.

show abstract

So You Think You Can Dance? Rhythmic Flight Performances with Quadrocopters

Cited by 15 publications

References 36 publications

Towards Fully Autonomous UAVs: A Survey

Towards Fully Autonomous UAVs: A Survey

Interactive Multi-Robot Painting Through Colored Motion Trails

Laban-Inspired Task-Constrained Variable Motion Generation on Expressive Aerial Robots

Contact Info

Product

Resources

About