2017 IEEE International Conference on Robotics and Automation (ICRA) 2017
DOI: 10.1109/icra.2017.7989609
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Dynamic collaboration without communication: Vision-based cable-suspended load transport with two quadrotors

Abstract: Abstract-Transport of objects is a major application in robotics nowadays. While ground robots can carry heavy payloads for long distances, they are limited in rugged terrains. Aerial robots can deliver objects in arbitrary terrains; however they tend to be limited in payload. It has been previously shown that, for heavy payloads, it can be beneficial to carry them using multiple flying robots. In this paper, we propose a novel collaborative transport scheme, in which two quadrotors transport a cable-suspended… Show more

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Cited by 108 publications
(94 citation statements)
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References 20 publications
(25 reference statements)
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“…A reference state (including pose, velocity, and angular velocity) is generated which the MAV will try to reach to equilibrate the external influence. Similarly, Gassner, Cieslewski, and Scaramuzza () worked on a leader–follower control to move a bulky object with two MAVs, but the follower used visual perception to track the relative position of the leader and the relative position of a tow that was anchored to the object. Also, in contrast to the previous approach, the anchor point has to be known.…”
Section: Related Workmentioning
confidence: 99%
“…A reference state (including pose, velocity, and angular velocity) is generated which the MAV will try to reach to equilibrate the external influence. Similarly, Gassner, Cieslewski, and Scaramuzza () worked on a leader–follower control to move a bulky object with two MAVs, but the follower used visual perception to track the relative position of the leader and the relative position of a tow that was anchored to the object. Also, in contrast to the previous approach, the anchor point has to be known.…”
Section: Related Workmentioning
confidence: 99%
“…Within the first group, the most common approach is the use of cable-based attachments. This approach allow independent control of the agents, constituting one of the main challenges, the obstacle avoidance between the quadcopters, while ensuring stability of the transported load [23][52] [51]. More interesting for the development of the current thesis are the examples of rigid attachment based collaborative aerial control.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Currently most ACTSs are slung loads from helicopters for the purpose of military or civilian logistics, but the recent increase in the commercialization of unmanned aerial vehicles (UAVs) due to improved onboard sensing and computation, and higher energy density batteries has opened the commercial possibility of using many small UAVs to collaborate towards single tasks [1][2][3]. The use of multiple small UAVs compared to a single larger one is desirable from a safety and redundancy standpoint, as well as allowing for greater reactivity of the system to excitations due to the greater agility of small UAVs [4]. Many types of UAVs exist, however much of the current research including this paper is focused on quadrotors due to their high payload to weight ratio, versatile control, and simple mechanical design [5].…”
Section: Introductionmentioning
confidence: 99%
“…A subject of great interest currently in the ACTS field is the implementation of decentralized control where the payload is transported by the collective action of multiple quadrotors without explicit communication between each agent. This has been studied for rigid connections [2], and for cable attachments using onboard camera [4] or using either observer or sensor derived tension sensing [13,14] where the stability is shown to relate to the internal forces in the body being transported. In all these works the wrench feasibility and stability of the ACTS is considered, but to the authors' best knowledge there is no systematic quantification of the degree of wrench feasibility nor generic methodology for mapping the extensive wrench set in task space.…”
Section: Introductionmentioning
confidence: 99%