7 november 2019
The Challenge
The aim of the competition is to demonstrate engineering and programming skills of the participants as well as the potential of the products of participating parties (companies).

The task: fully autonomous delivery of a cargo by drone from one person to another (imitated by unpredictably moving platforms/rovers) through a track.

The track includes real obstructions: to fly in the window, to fly through the corridor and other.
Program of Competition
November 7th 2019
08:30 – 09:00
08:30 – 09:00
Organizer move-in and setup
09:00 – 10:00
09:00 – 10:00
Instructions and preparation
10:00 – 12:30
10:00 – 12:30
12:30 – 13:30
12:30 – 13:30
13:30 – 16:00
13:30 – 16:00
Competition 1
16:00 – 16:30
16:00 – 16:30
Coffee break
16:30 – 18:00
16:30 – 18:00
Competition 2
The Task
Many companies around the world are trying to implement delivery by drones, but so far it has not seen widespread application. This is the result of a very important and persistent issue of drone delivery: the transfer of cargo from the drone directly to the client.
This is the task that we offer for the participants of our competition to try and solve.

The competitors will have to use an autonomous drone to pick up the cargo from the warehouse and deliver it to the customer in another "building".
This task will demonstrate the teams' skill at using robots to connect businesses and people.

The competitors are allowed to use any personal cargo at least 50 and no more than 200 grams and any personal drone.
Point A - "warehouse" (a nominally fenced-off area with walls)
The task is to seize the marked cargo.

Difficulty levels:
  1. 0 - cargo can be physically placed into the drone, for penalty points
  2. simply seizing the cargo off the floor
  3. seizing a specific marked cargo piece
  4. seizing the specific cargo from a dense row

Any navigation system is allowed

Departure through the "window".

Intermediate flight
Point B - customer in the "house"
The task is to deliver the cargo to the customer inside a "house" by flying through the obstacles, up the stairs and handing the cargo over to the customer. The customer should be safe and comfortable when accepting it.

After entering the "house", the participants will need to guide their drones through a maze, climb up the stairs. There might be random interference indoors, for example, people moving down the stairs.
While the delivery from the "warehouse" to the entrance of the "house" is strictly limited to quadcopters, it is permitted to use other robots to deliver the cargo from the entrance directly to the customer.

Difficulty levels:
  1. Flying through a previously marked room
  2. Flying through an unmarked room
  3. Flying through unmarked premises with dynamic obstacles (oncoming person).

Difficulty levels:
  1. The drone drops-off the cargo and departs.
  2. The drone informs the customer about the cargo delivery and does not depart until the customer takes the cargo.
Marking criteria:
I Objective criteria

100-point scale, value: 100

1. Cargo pick-up (20)
2. Flying and traversal of obstacles (50)
3. Cargo delivery and human interaction (30)
II Subjective criteria

100-point scale, value 50 (30+20) - 15 - 10 - 5 - 10 - 10

1. Best technical solution
a. Navigation (30)
b. Cargo handling (20)
2. Presentation
3. Technical report - drone technical specifications
4. The budget of the solution
5. Design elegance
6. Gimmicks
This competition is open to students from schools, universities and Secondary Vocational colleges with technical inclination or interest in programming and flying robotics.

List of potential participants:
Auterion, ETHZurich, Penntech, DJI, COEX, Parrot, MIT, JD, Ehang, SF, Beihang University, Shenzhen University of Science and Technology, Czech Technical University in Prague, University of Pennsylvania, University of LincolnCzech Technical University in Prague, University of Pennsylvania, New York University, NimbRo, Virginia Tech, ETH Zurich, University of Tokyo, KAIST, University of Seville, CATEC, IST Portugal, LAAS-CNRS Toulousem, University of Applied Sciences Aachen, CVAR-UPM/ SRLab-UPO/ UAVRG-PUT, University of Leeds, University of Zagreb, Università degli Studi di Catania, Indian Institute of Science - TATA Consultancy Service (IISc - TCS), Georgia Tech, Technical University of Denmark, Osaka University, Tartan, UNSW Sydney, The BioRobotics Team, Tsinghua University, 4Front Robotics, RWTH Aachen University, University of Pisa, Beihang University, Lodz University of Technology, MIST Lab, IIT Kanpur, Project C.G.S, Heudiasyc UMR 7253, Sorbonne University, NodeIn Robotics, Terabee, University of Oulu, TIFO Institute, Universiti Sains Malaysia, Next Technology, Beijing Institute of Technology, Texas A&M University, DAI-Labor TU Berlin, Hong Kong University of Science and Technology, Worcester Polytechnic Institute, Universidad Carlos III de Madrid.

Logistics & Local Support
Flight zone 20х10 square meters with a net fenced from the floor to the ceiling for the safety of visitors and participants.

Organizers and Contact
Copter Express Technologies LLC is a research and development company of unmanned aerial multirotor drones. The company's quadcopters are designed for educational purposes, autonomous monitoring of different types of areas and aerial cargo delivery. Finally, provide the contact and details of the person to whom all correspondence should be exchange with.

Our mission: to create and distribute the best drone delivery solution. We motivate, train and gather in COEX like-minded talents, providing them with a comfortable work environment to create the right solution for making drone delivery a reality around the world.

Over 2000 school and university students were educated with Clever Drones, and more than 300 of them were educated in our Fablab "Copter"

For any further details, contact:

Vadym Malyarchuk

Public Relations Manager at Copter Exprtess

+7 (925) 129 13 95

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