New Frontiers of Delivery Services Using Drones: A Prototype System Exploiting a Quadcopter for Autonomous Drug Shipments

Gatteschi, Valentina; Lamberti, Fabrizio; Paravati, Gianluca; Sanna, Andrea; Demartini, Claudio Giovanni; Lisanti, Alberto; Venezia, Giorgio

doi:10.1109/compsac.2015.52

Cited by 51 publications

(28 citation statements)

References 13 publications

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“…Thus, the distorted perception of probability leads to choosing risky path strategies which achieve expected delivery times that exceed the target time. This can have dire concequences especially in critical and emergency medicine delivery applications [3], [4]. Here, we note that our calculated delivery time actually corresponds to the expected flight time of the UAV when faced with attacks.…”

Section: Numerical Resultsmentioning

confidence: 66%

“…In fact, the merit of a drone delivery system lies in its ability of meeting a certain short target delivery time (e.g. 30 mins for Amazon Prime Air [2], or shorter and stricter time restrictions for medical and safety applications [3], [4]). Thus, an achieved delivery time is naturally assessed with respect to this target delivery time rather than as an absolute quantity.…”

Section: Introductionmentioning

confidence: 99%

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Prospect theory for enhanced cyber-physical security of drone delivery systems: A network interdiction game

Sanjab

Saad

Başar

2017

2017 IEEE International Conference on Communications (ICC)

128

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The use of unmanned aerial vehicles (UAVs) as delivery systems of online goods is rapidly becoming a global norm, as corroborated by Amazon's "Prime Air" and Google's "Project Wing" projects. However, the real-world deployment of such drone delivery systems faces many cyber-physical security challenges. In this paper, a novel mathematical framework for analyzing and enhancing the security of drone delivery systems is introduced. In this regard, a zero-sum network interdiction game is formulated between a vendor, operating a drone delivery system, and a malicious attacker. In this game, the vendor seeks to find the optimal path that its UAV should follow, to deliver a purchase from the vendor's warehouse to a customer location, to minimize the delivery time. Meanwhile, an attacker seeks to choose an optimal location to interdict the potential paths of the UAVs, so as to inflict cyber or physical damage to it, thus, maximizing its delivery time. First, the Nash equilibrium point of this game is characterized. Then, to capture the subjective behavior of both the vendor and attacker, new notions from prospect theory are incorporated into the game. These notions allow capturing the vendor's and attacker's i) subjective perception of attack success probabilities, and ii) their disparate subjective valuations of the achieved delivery times relative to a certain target delivery time. Simulation results have shown that the subjective decision making of the vendor and attacker leads to adopting risky path selection strategies which inflict delays to the delivery, thus, yielding unexpected delivery times which surpass the target delivery time set by the vendor.

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Section: Numerical Resultsmentioning

confidence: 66%

Section: Introductionmentioning

confidence: 99%

Prospect theory for enhanced cyber-physical security of drone delivery systems: A network interdiction game

Sanjab

Saad

Başar

2017

2017 IEEE International Conference on Communications (ICC)

128

View full text Add to dashboard Cite

show abstract

“…In order to address vehicle coordination, Dorling et al [5] propose two vehicle routing problems, one of which minimizes delivery costs, while the other minimizes the overall delivery time. A complete prototype system is proposed in [6], including an Android application to place orders of drug parcels and an autonomous drone to deliver them. Park et al [7] investigate the battery management perspectives of a drone delivery business with the promise of reducing the battery and electricity costs by 25% and the average waiting time for the packets by over 50%.…”

Section: Related Workmentioning

confidence: 99%

The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony

Brunner

Szebedy

Tanner

et al. 2019

2019 International Conference on Unmanned Aircraft Systems (ICUAS)

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Drone delivery has been a hot topic in the industry in the past few years. However, existing approaches either focus on rural areas or rely on centralized drop-off locations from where the last mile delivery is performed. In this paper we tackle the problem of autonomous last mile delivery in urban environments using an off-the-shelf drone. We build a prototype system that is able to fly to the approximate delivery location using GPS and then find the exact drop-off location using visual navigation. The drop-off location could, e.g., be on a balcony or porch, and simply needs to be indicated by a visual marker on the wall or window. We test our system components in simulated environments, including the visual navigation and collision avoidance. Finally, we deploy our drone in a real-world environment and show how it can find the drop-off point on a balcony. To stimulate future research in this topic we open source our code.

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“…Moreover, they can navigate ground robots since they may have a better view of the environment, and they can also collaborate with ground robots to execute complex tasks. Beyond those listed in Figure 1 , delivery service is another application attracting interest from both the research community [ 14 ] and business community. For example, a startup company has been focusing on applying FRs to deliver medicine in Rwanda [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Towards the Internet of Flying Robots: A Survey

Huang

Savkin

2018

Sensors

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The Internet of Flying Robots (IoFR) has received much attention in recent years thanks to the mobility and flexibility of flying robots. Although a lot of research has been done, there is a lack of a comprehensive survey on this topic. This paper analyzes several typical problems in designing IoFR for real applications, including wireless communication support, monitoring targets of interest, serving a wireless sensor network, and collaborating with ground robots. In particular, an overview of the existing publications on the coverage problem, connectivity of flying robots, energy capacity limitation, target searching, path planning, flying robot navigation with collision avoidance, etc., is presented. Beyond the discussion of these available approaches, some shortcomings of them are indicated and some promising future research directions are pointed out.

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New Frontiers of Delivery Services Using Drones: A Prototype System Exploiting a Quadcopter for Autonomous Drug Shipments

Cited by 51 publications

References 13 publications

Prospect theory for enhanced cyber-physical security of drone delivery systems: A network interdiction game

Prospect theory for enhanced cyber-physical security of drone delivery systems: A network interdiction game

The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony

Towards the Internet of Flying Robots: A Survey

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