Codeavour 5.0 Track 2 AI Robo City Challenge Rules and Guidelines

Version 2.0, Date: 1st
January 2024

Table of Contents - Track 2 - AI Robo City Challenge
1. Introduction................................................................................................................... 3
1.1. Eligibility Criteria for Registration.................................................................................3
1.1.1. Team Registration................................................................................................ 4
1.1.2. Learning Resources..............................................................................................4
1.1.3. General Rules and Regulations............................................................................4
2. Game Arena and Specification........................................................................................5
2.1. Arena for AI Robo City Challenge................................................................................. 6
2.2. Game Objects, Positioning, and Randomization.......................................................... 7
2.2.1. Objects................................................................................................................ 7
2.3. Arena Set-up.................................................................................................................9
2.3.1. Camera Set-up................................................................................................... 10
2.3.2. Camera Specification.........................................................................................10
3. Mission and Challenges................................................................................................ 10
3.1. Challenges.................................................................................................................. 11
1.7.1. Challenge 1: Complete the Water Treatment Plant...........................................11
3.1.2. Challenge 2: Solar Panel Installation................................................................. 12
3.1.3. Challenge 3: Deliver Veggies to the Supermarket From a Hydroponics Farm... 13
3.1.4. Challenge 4: AI-powered Residential Waste Collection.....................................14
3.1.5. Challenge 5: Clean the Park...............................................................................16
3.1.6. Challenge 6: Redirect the Wind Turbine............................................................18
3.1.7. Challenge 7: Smart Pizza Delivery......................................................................19
3.1.8. Challenge 8: House-to-Hospital Patient Transfer...............................................20
3.1.9. Challenge 9: Rescue the Cat Stuck on the Tree................................................. 21
3.1.10. Challenge 10: Help the Kids Cross the Street to Get to the School................. 22
3.1.11. Challenge 11: Greener City (Tree Plantation).................................................. 23
4. Robot Material and Regulations....................................................................................24
5. Before the Competition Round..................................................................................... 26
6. During the Competition Round.................................................................................................. 28
6.1. Do’s.............................................................................................................................28
6.2. Don’ts......................................................................................................................... 29
7. Evaluation and Scoring..................................................................................................30
8. Score Sheet For Track 2 - Codeavour 5.0 International...................................................34
9. Glossary.................................................................................................................................... 36
Page 2

1. Introduction
Engage in a thrilling competition where robots powered by Artificial Intelligence (AI)
navigate the cityscape, tackling real-world challenges and revolutionizing urban life.
Showcase your expertise in AI, Robotics, Machine Learning (ML), and intelligent systems as
you shape the future of smart cities and redefine the possibilities of urban living.
In the Codeavour 5.0 International, Track 2 the AI Robo City Challenge is a physical robotics
competition. The participants will design and build their Robot with Quarky to complete the
different object-placing missions.
In Track 2, the game field of AI Robo City Challenge, your robots will help install, repair, and
manage the different tasks and challenges.
The robot can be Autonomous (programming the robot to follow a predetermined path
using the line-following technique) or Manually (direct control of the robot using your
device) controlled and must be Do-It-Yourself (DIY).
Codeavour International will help students develop their 21st Century skills and creativity in
the following areas:
● Coding
● Robotics concept
● Engineering Skills
● Artificial Intelligence
● Strategies and Planning
● Real-world problem-solving
1.1. Eligibility Criteria for Registration
Follow these simple rules and make sure you meet the criteria to join the program. These
include:
● Each team can have a maximum of three members and must have one
mentor/coach/guardian.
● The age group for track 2 is as follows:
○ Elementary: 7-10 Years
○ Junior: 11-14 Years
○ Senior: 15-18 Years
● All the participants must meet the age group and team size criteria.
Page 3

1.1.1. Team Registration
Complete your team registration to participate in the world's biggest AI, Coding, and
Robotics fest.
To register for this competition, participants must visit the Codeavour 5.0
International website and complete the registration process:
Registration Link: https://codeavour.org/register/
1.1.2. Learning Resources
Participants can access training resources on the Codeavour 5.0 official website,
which offers comprehensive material for learning Coding, AI, Machine Learning, and
more.
LMS: https://codeavour.org/learning-resource/
1.1.3. General Rules and Regulations
Stick to the general rules and regulations for a smooth and enjoyable experience.
● The robot should be programmed using PictoBlox only. Participants can use
any coding environment inside the PictoBlox.
● The participants must make a robot using the Quarky only.
● The mentor or coach’s responsibility is limited to mentorship and guidance
only, they should not be directly involved in making or controlling the robot.
Any direct involvement will lead to the disqualification of the team.
● The Codeavour team will reveal surprise rules on the competition day for
participating teams, ensuring an engaging and fair experience for all.
Page 4

2. Game Arena and Specification
Game Field Size: 45 in x 93 in
● Path width: 15cm
● Width of black line: 1.5 cm
Pathway Dimensions
Page 5

The game field/arena is marked at various places with red outlines for pick-up and green
outlines for drop locations. Initially, an object is placed on the red outlined area, and a robot
will be responsible for moving it to the drop location.
Pick-up Point Drop Point
2.1. Arena for AI Robo City Challenge
Page 6

2.2. Game Objects, Positioning, and Randomization
Various objects are placed inside the arena for the challenges; each element differs
according to the specific challenge. The object's appearance will be different, but its size and
shape will remain the same, as shown below:
2.2.1. Objects
Participants can use various methods to correctly position the object cubes, such as
Pick and Place, Grab, Push Pull, and more.
Page 7

The "Rescue Crane" is a unique mechanism in the competition arena. This rescue
crane has two sides: one side has a counterweight, and the other has a fireman
rescuing a cat. The participating team's objective is to strategically remove the
counterweight, allowing the fireman to get down safely, and rescue the cat from the
tree.
Page 8

2.3. Arena Set-up
● Initial Configuration: All objects and elements will be arranged on the arena
according to the provided setup diagram.
Note: Before the match, the judge may decide to randomly shuffle the cubes for
activities 4 and 5.
● Pickup Point: The game field elements will be positioned at the Pickup point for
teams to interact with during the competition.
Initial Positions of Arena Objects (Elementary)
Initial Positions of Arena Objects (Junior/Senior)
Page 9

● Area: The pit area will be marked with yellow and black floor marking tape.
● Team Space: Team members will have a designated area of 3 feet around the arena
inside the pit for their activities and observations.
Arena Pit Area
2.3.1. Camera Set-up
A web camera will be placed at a distance of 23 cm from the arena for the AI-based
challenges (challenges 4 and 5).
Note: The participant(s) must consult with the judge regarding the camera configuration.
They are not permitted to handle or adjust the camera mount/camera before or during the
match.
Camera Position Camera Field of View
Page 10

2.3.2. Camera Specification
Connection Type: Wired, USB 2.0
Camera FOV: DFOV 95°
Capture Resolution:
FHD (1920 x 1080)
3. Mission and Challenges
There are 11 challenges. Participants must complete as many as possible within 5 minutes.
After time out, no incomplete task will be scored.
Participants can prepare the strategy and set their challenges in a sequence with the robot.
To complete the challenges, participants can use Manual and/or Autonomous controlled
robots as per the age groups:
● Elementary:
The participants from the elementary age group can use a manual robot entirely for
all the challenges. Opting for an autonomous robot in any challenge results in scoring
advantages.
● Junior/Senior:
The Junior and Senior participants can use Manual/Autonomous robots, with at least
one challenge with an autonomous robot. You have the freedom to select your
challenge on competition day. However, if you cannot independently complete the
task, you will not earn points for that particular challenge.
Note: Completing a challenge with autonomous robots is rewarded with double
points compared to manual robots for that challenge. This strategic choice boosts a
team's score significantly, offering a competitive advantage.
Page 11

3.1. Challenges
Begin your championship journey with 11 exciting challenges to conquer.
3.1.1. Challenge 1: Water Treatment Plant Project
Water is essential for human survival, and it is crucial to ensure a steady supply of
clean water for all individuals. In this challenge, there has been an unfortunate
incident where the pipeline supplying water has been damaged at the water supply
plant. The team is tasked with promptly identifying and repairing the damage,
ensuring uninterrupted water flow to the residential areas.
Challenge 1: Complete the Water Treatment Plant construction
Page 12

3.1.2. Challenge 2: Canal Solar Power Project
Solar energy is a reliable renewable energy source that can help reduce our
dependence on fossil fuels and tackle climate change. It is a crucial solution for
sustainably meeting the growing global energy needs because it can be easily scaled
up and cost-effective. The young innovator plans to use their robot to install solar
panels over the river to make a positive impact.
Challenge 2: Install solar panels on canal
Page 13

3.1.3. Challenge 3: Hydroponic Farm Produce Supply
Hydroponics helps make urban farming more sustainable by increasing crop yields,
conserving water, and eliminating the need for pesticides. This approach minimizes
environmental harm and ensures food security in cities. The mission is to collect the
vegetables from the farm and transport them to the store.
Challenge 3: Deliver Veggies to the Supermarket From a Hydroponics Farm
Page 14

3.1.4. Challenge 4: Clean the Park
Keeping parks clean is essential in smart cities. Clean parks make the city a better place to
live and visit because they are nice spots to relax and have fun. In Smart cities, clean parks
also help care for the environment. In the mission, collect the waste from the City Park and
identify whether it is biodegradable or non-biodegradable; dispose of it accordingly.
Conditions:
● One object will be randomly placed on Pickup point 4 (Biodegradable or
Non-biodegradable).
● In this challenge, the Junior/Senior participants must use a Machine Learning
environment to train the custom model with Biodegradable and Non-biodegradable
waste images to identify the type of waste.
● Elementary participants can use the pre-trained model in the card recognition
extension available in the PictoBlox (The color or number of the recognized card
should be displayed on the Quarky display.)
Page 15

Note:
1. Activities 4 and 5 have identical conditions.
2. For the card recognition, participants must display the output on Quirky as shown
below-given images or they need to show the cube’s name on PictoBlox Stage.
Page 17

3.1.5. Challenge 5: AI-powered Residential Waste Collection
Insufficient waste management infrastructure and systems lead to ineffective
disposal and possible environmental pollution. Moreover, residents need more
awareness and participation in separating and recycling waste to meet the city's
sustainability goals. Collect the waste from the residence and identify whether it is
biodegradable or non-biodegradable; dispose of it accordingly.
Conditions:
● One object will be randomly placed on Pickup point 5 (Biodegradable or
Non-biodegradable).
● In this challenge, the Junior/Senior participants must use a Machine Learning
environment to train the custom model with Biodegradable and Non-biodegradable
waste images to identify the type of waste.
● Elementary participants can use the pre-trained model in the card recognition
extension available in the PictoBlox (The color or number of the recognized card
should be displayed on the Quarky display.)
Page 18

Note:
1. Activities 4 and 5 have identical conditions.
2. For the card recognition, participants must display the output on Quirky as shown
below-given images or they need to show the cube’s name on PictoBlox Stage.
Page 20

3.1.6. Challenge 6: Redirect the Wind Turbine
Windmills and wind energy are crucial in smart cities as they enable us to harness
electricity from the wind. It is essential to align the windmill with the direction of the
wind flow to optimize energy generation.
The windmill will be initially placed randomly in any direction: South (S), East (E), or
West (W). Participants' robots must change the windmill's position to face North (⇧)
and align the North direction arrow with the windmill arrow.
Page 21

3.1.7. Challenge 7: Smart Pizza Delivery
In the world of smart delivery robots for a smart and sustainable city, the
Autonomous Food Delivery Bot is an intelligent robot designed to pick up pizzas from
the outlet and deliver them directly to customers.
Challenge 7: Smart Pizza Delivery
Page 22

3.1.8. Challenge 8: Autonomous Ambulance Service
The rapid development of autonomous driving technology leads to the proliferation
of driverless vehicles. In healthcare, real-time traffic monitoring and optimized routes
improve the efficiency of accessing the hospital. Here the call is to get the patient to
the hospital quickly and safely.
Challenge 8: Get the patient to the hospital quick and safe
Page 23

3.1.9. Challenge 9: Rescue the Cat
A curious cat has climbed up a tree but cannot return. The mission is to design and
program a robot to rescue this stuck cat safely. The rescue team has a crane ready to
help a cat stuck in a tree. Participants must remove the crane's counterweight and
safely lower the cat to the ground to complete the rescue mission.
Page 24

3.1.10. Challenge 10: Road Safety Robot
A busy road filled with traffic and a group of kids desperately trying to cross to the
other side. Your mission is to help them and ensure their safe passage across this
challenging road.
Challenge 10: Help the Kids Cross the Street to Get to the School
Page 25

3.1.11. Challenge 11: Green City Project
The robots are not just machines; they are eco-warriors. In the mission, the robot will
pick the tree and take it to the park for the plantation. Let us plant trees for a green
and better world.
Challenge 11: Smart Tree-Planting robot planting a tree
Page 26

4. Robot Material and Regulations
All the hardware brought by the team to the competition, viz the robot, accessories, and
other attachments for the robot, are specified below. The entire robot must be designed as
per the mentioned guidelines:
● Hardware/Microcontroller: Quarky Board (Max qty:1; No other microcontroller is
permitted).
● Programming Software: PictoBlox (Participants can use different environments
available in PictoBlox).
● Power Supply: Battery Operated with a maximum allowed Voltage of 5 Volts
between any two terminals.
● Add on Board: Quarky Expansion Board (Max qty:1).
● Robot size: 20x20x20cm LBH (maximum).
● Maximum Weight: 1.5 kg.
Page 27

● Add-on Parts: Participants are free to choose the additional construction
components as per their robot design (3D printed parts, Laser cut MDF parts, Lego
components, Ice Cream sticks, and more).
Lego pieces MDF parts 4 Pin IR sensor
Note:
1. You can use any sensors compatible with Quirky.
2. DC Motors up to maximum 150 RPM are allowed.
The team must bring all the necessary components and tools, as no material will be
provided at the venue by the organizers. This includes extra batteries, power extension
cords, a soldering kit, glue, fasteners, etc.
The Robot design must not damage the game field or any of the articles in the game field in
any way.
● No exposed sharp edges: The entire design of a robot must not have sharp edges
that may harm the game field or the people around it.
● No hazardous materials: The Robot parts shall not be made with hazardous
materials.
Page 28

5. Before the Competition Round
● The robots must be fully assembled in advance before the commencement of the
round.
● The participants must verify their robot (Quarky) & PictoBlox code by the designated
Codeavour robot verification team to ensure it meets the specified requirements at a
physical venue.
● Participating teams will know the time slot and game field table before the
competition round.
● Before the competition round, the teams will get 10 minutes to test and set up their
robots in the allotted practice arena.
Each team will receive one red card and two blue cards before the competition round and
two yellow cards upon unlocking the cards by completing specific challenges;
● Participants can get a Yellow Card by completing challenge 4 or 5. Another Yellow
Card will be awarded upon successful completion of challenge 6.
● Upon entering the challenge, participating teams will be equipped with Red and Blue
cards.
Yellow Card (For Foul Exemptions): The
team can redeem the Yellow Card to avoid
negative scoring associated with that
specific foul. This redemption acts as a foul
exception, allowing the team to nullify the
penalty and maintain their current score for
that challenge.
Teams must use their Yellow Cards
judiciously, as they have only two chances
to waive off negative scoring due to fouls.
Making strategic decisions about when to
redeem these cards can significantly impact
a team's overall standing in the
competition.
Yellow Card (2X)
Note:
● The use of the Yellow Card to adjust/place the object at the drop point is not
permitted.
Page 29

Red Card (Teleport Card): This card enables teams to
deploy a teleportation strategy. Using the Red Card allows
the team's robot to instantly teleport between predefined
Starting / Reset points on the competition field. This
strategic move can help teams swiftly change their robot's
position.
Red Card (1)
Blue Card (Switch Manual/Autonomous Mode):
The Blue Card allows teams to switch their robot's
operational mode seamlessly. Teams can switch
their robot between autonomous and manual
control only once using this card. This flexibility is
crucial for adapting to various challenges during the
competition. Autonomous mode allows
pre-programmed actions, while manual mode lets
teams control their robot in real-time.
Blue Card (2X)
Note:
● Teams can only use the red card while their robot is in the start or reset
regions.
Page 30

6. During the Competition Round
● 2 minutes will be given to a team for the calibration before starting the challenge.
6.1. Do’s
● Only team members are allowed near the competition (pit) area.
● The team is responsible for picking up their robot immediately on time out.
● The robot must start from the starting point, and the team will have a chance to
teleport the robot to reset point using a Red Card.
Robot Initial Position
● Robots must adhere to the specified path when approaching objects.
Correct Way to Approach Objects
Page 31

● During a challenge attempted as an autonomous challenge:
○ The team should code in the way that intersections are defined. The running
code should automatically switch to the code for the next challenge and be
toggled when using the L and R buttons in the event of a foul or reset.
○ The team is not permitted to touch the gadget connected to the robot when
it is in autonomous mode.
○ In the case of an error, such as losing an object, when conducting an
autonomous task, the participants can decide either
■ To continue toward the next task
OR
■ Exercise a foul to reposition their robot to one of the intersections,
with the reinstating of that challenge’s game object (ref. Fouls) to its
original position by the referee.
Page 32

6.2. Don’ts
● It is forbidden to touch the robot during the challenge. In case of any technical issues
with the robot, the team is permitted to make minor changes/fixes to the robot at
the expense of foul.
● Mentors/coaches/teachers/parents/guardians are not allowed inside the Pit area.
● Do not cause any damage to the competition field, arena, or any of the given
equipment, as this may result in disqualification.
● Approaching the object directly over other buildings or areas is strictly prohibited.
Incorrect Way to Approach Objects
Page 33

7. Evaluation and Scoring
● Team submission should abide by the participation and submission guidelines;
non-adherence to them will result in disqualification.
● The team must submit photos, videos, and detailed information about the robot on
the Codeavour 5.0 submission portal.
During the competition (physical mode) the score will be given as per the following criteria:
● Full Points: You will get full points if the object is inside the placement area or
positioned on the green line.
Full Points
● Half Points: Only half points will be given if the object is touching the green outline
of the placement area in any way.
Half Points
Page 34

● No Points: Zero points will be considered if the object is placed entirely outside the
designated area.
No Points
● For each foul, negative five (-5) points will be considered, and it will be deducted
from the total score.
● A foul will be called if the robot leaves the allocated track or if any portion of the
robot is not on the black line of the white track.
Path Deviation
Page 35

● If a team member touches the robot directly during the challenge without instruction
from the referee.
Participant's Touch
Page 36

8. Score Sheet For Track 2 - Codeavour 5.0 International
Scoring Sheet Track 2
Team Name: Age Group:
Team Number: Table Number:
Referee Name: Robot Inspection:
Activity Sequence: Autonomous Challenge: ☐
Windmill Position: East ☐ South ☐ West ☐
Yellow Card ☐☐ Red Card ☐
Blue Card ☐
Sr. No. Challenges
Activity Points
Total Secured
Points
Manual Autonomous
Fouls
(-5)
Full
Score
Half
Score
Full
Score
Half
Score
1
Complete the water
treatment plant
10 5 20 10
〇〇〇〇〇
〇〇〇〇〇
2 Solar panel installation 10 5 20 10
〇〇〇〇〇
〇〇〇〇〇
3
Deliver veggies to the
supermarket from
hydroponics farm
20 10 40 20
〇〇〇〇〇
〇〇〇〇〇
4
AI-powered residential
waste collection
30 15 60 30
〇〇〇〇〇
〇〇〇〇〇
5 Clean the park 30 15 60 30
〇〇〇〇〇
〇〇〇〇〇
6
Redirect the wind
turbine
30 15 60 30
〇〇〇〇〇
〇〇〇〇〇
7 Smart pizza delivery 10 5 20 10
〇〇〇〇〇
〇〇〇〇〇
Page 37

8
House-to-hospital
patient transfer
20 10 40 20
〇〇〇〇〇
〇〇〇〇〇
9
Rescue the cat stuck on
the tree
10 5 20 10
〇〇〇〇〇
〇〇〇〇〇
10
Help the kids cross the
street to get to school
10 5 20 10
〇〇〇〇〇
〇〇〇〇〇
11
Greener city (tree
plantation)
20 10 40 20
〇〇〇〇〇
〇〇〇〇〇
Maximum Point/Total 200 400
Page 38

9. Glossary
Glossary
Game Field
The area within the competition arena where the robots perform the
challenges and tasks.
Object Placing
Missions
Specific tasks that robots need to accomplish include placing objects in designated
areas or moving objects from one location to another.
Challenge
A specific task or problem that participants need to solve using their robots
within a limited time frame.
Game Objects
Physical items are placed inside the arena that robots interact with during the
challenges.
Pick and Place
A method of robot manipulation where the robot picks up an object from one
location and places it in another.
Grab
A method of robot manipulation where the robot uses a gripping mechanism to
hold and move objects.
Push Pull
A method of robot manipulation where the robot applies force to objects to
push or pull them to desired locations.
Hydroponics
A method of growing plants without soil, using nutrient-rich water solutions to
deliver nutrients directly to the plant roots.
Machine Learning
Environment
A platform or framework where machine learning models are trained and
tested using datasets.
Smart Delivery
Robots
Robots designed for delivering goods or services autonomously are often used
in the context of smart cities for efficient and sustainable deliveries.
Page 39

Robot Verification
Team
A team is responsible for ensuring that robots meet the specified requirements
and guidelines before the competition.
Referee
An official is responsible for overseeing and judging the competition, ensuring
fair play and adherence to the rules.
Table Number
A unique identifier is assigned to each competition table or area where teams
perform their challenges.
Starting
Point/Reset Point
Designated locations on the competition field from where the robots begin or
can be reset during challenges.
Scoring Sheet
A document used to record each team's scores and performance during the
competition.
Calibration
The process of adjusting and fine-tuning the robot's sensors and movements to
ensure accuracy during challenges.
Yellow Card
Teams can redeem a penalty card to nullify negative scoring associated with
specific fouls.
Red Card
A card enabling teleportation strategy, allowing teams to move their robot
instantly between predefined points on the field.
Blue Card
A card that allows teams to switch their robot between manual and
autonomous mode during challenges.
Foul Exemptions
Instances where teams can avoid penalties by redeeming yellow cards
strategically.
Quarky Expansion
Board
An additional board can be attached to the Quarky microcontroller to extend its
capabilities.
Practice Arena
An allocated space where teams can test and set up their robots before the
competition round.
Page 40

Biodegradable
Materials capable of decomposing naturally and returning to the environment
without causing harm.
Non-
Biodegradable
Materials that do not decompose naturally can harm the environment if not
disposed of properly.
Mentors/Coaches
/Teachers/Parents
/Guardians
Individuals not allowed in the competition area are not directly involved in
robot control or manipulation.
AI (Artificial
Intelligence)
The simulation of human intelligence processes machines, especially computer
systems, to perform tasks that typically require human intelligence, such as
visual perception, speech recognition, decision-making, and language
translation.
Autonomous
Robot
A robot operates without human intervention, following a predetermined set of
instructions or responding to its environment using sensors and algorithms.
Codeavour
The name of the international robotics competition is mentioned in the rule
book.
DIY
(Do-It-Yourself)
The practice of building, modifying, or repairing something without the direct
aid of experts or professionals.
FHD (Full High
Definition)
A display resolution of 1920 x 1080 pixels, providing high-quality visual content.
FOV (Field of
View)
A camera or other optical device can see the extent of the observable world at
any given moment.
Game Arena The designated competition area where robots perform tasks and challenges.
Machine Learning
A subset of artificial intelligence that provides systems the ability to
automatically learn and improve from experience without being explicitly
programmed, often used in pattern recognition and decision-making.
Page 41

PictoBlox
The specified programming software used for programming the robots in the
competition.
Quarky
The specified hardware/microcontroller used for building robots in the
competition.
Robotics
The interdisciplinary field integrates mechanical engineering, electronics,
computer science, and artificial intelligence to design, build, and operate
robots.
Smart City
A city that uses digital technology to enhance performance and well-being and
reduce costs and resource consumption across the city.
Sensors
Devices that detect and respond to inputs from the physical environment, such
as light, heat, motion, or pressure.
Teleportation
Strategy
A strategic move where the robot is instantly moved between predefined
starting or reset points on the competition field.
Track
The specific category or type of competition within the overall robotics event
(e.g., Track-2: Robo City Challenge).
Wired Connection
A physical connection using wires or cables to transfer data or power between
devices.
Wireless
Connection
A connection that allows data or power transfer between devices without the
need for physical wires or cables.
Wind Turbine A device that converts wind energy into electrical power.
Important: Please note that minor updates to this competition’s rules and guidelines may be
made before/during the competition to ensure accuracy and fairness. Before the
competition, you will receive your time slot and table number.
Page 42

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