Seznam robotů

Vytvořili jsme unikátní závodní simulátor vytvořený pouze z lega. Lidé, kteří nás stánek navštíví si budou moci vyzkoušet řídit nejrůznější vozidla ve videohrách. Kromě simulátoru jsme vytvořili i předměty související se řízením, jako například formuli 1, model spalovacího motoru a další. Využitím pokročilých technických prvků jsme dosáhli k vytvoření robata, který kombinuje zábavu a zážitek z řízení. Všechny tyto roboty v kroužku robotiky už společně stavíme druhým rokem a strávili jsme jejich stavěním spoustu práce.

Kumquat je robot na disciplínu Free Style, postaven se součástkami z EV3 setu, jako jsou motory, sensory a tzv. mozek robota.

Robot je postaven podle předlohy traktoru Case HI Quadtrac 715.

Robot má pevnou konstrukci se čtyřmi pásy, poháněnými jedním motorem přes diferenciál, středním otočným kloubem pro zatáčení a jedním motorem v zadní části pro pohánění příslušenství, které je volně zaměnitelné s jinými, ale bohužel jsme nebyli schopni přivést více než jedno, které je vlečný pluh s rozložitelnými rameny. Barevná schéma je červená s černými prvky a velkou částí konstrukce a motorů.

Náš projekt pro tento rok se zabývá soustředěním a efektivitou učení. Jméno našeho vynálezu je FOCUS BOX. Toto zařízení umí měřit díky speciálním čidlům teplotu, hluk a CO2. Je opatřen třemi součástkami na ukazování dat-semafor, displej a bzučák. Semafor ukazuje hluk v místnosti na tříbarevné škále. Dále tu máme displej, který zobrazuje přesné informace o měření teploty a CO2. Nakonec zde je bzučák, jehož pomocí zjistíme, kdy se má otevřít okno, aby se vyvětralo. Mozek celého našeho projektu je deska Arduino R4. Náš přístroj měl základ v situacích, kde se třída začala hádat o teplotě ve třídě.

We are a team of eight students, and we are extremely proud to have the opportunity to represent our country abroad for the first time. For the past two years, we have been actively involved in robotics, developing our skills through creativity, teamwork, and innovation.

Our hard work paid off when we won first place in the Cyprus National Robotics Competition, earning the chance to participate in the Robotic Day competition in the Czech Republic.

The project we chose to develop is an autonomous robotic oil extraction platform. The platform includes a robotic underwater vehicle that scans the oceans to detect potential oil deposits beneath the seabed. Once a suitable deposit is identified, the extraction process is carried out automatically. Tanker ships then arrive to collect and transport the extracted oil.

One of the key features of our system is that the entire operation—from exploration and detection to extraction and loading—is fully automated, requiring no direct human intervention.

We are very proud of our project and excited to present it on the international stage.

Rescue City is a smart city model designed to improve safety during building fires. Fires can spread quickly, creating smoke, heat, and blocked exits, making evacuation difficult—especially for people with visual or mobility impairments who need additional support. To address this, we developed three simple robotic solutions. The first is a fire-resistant robot dog that guides people to safety and assists those who cannot see or move easily. The second is a rescue cable car system, which safely transports people from danger zones, offering an effective evacuation option for those unable to use stairs. The third is Fort Clif, a mechanical system that clears blocked paths by lifting debris, helping both citizens and rescue teams move safely. Our project focuses on inclusion and real-world impact by supporting vulnerable individuals in emergencies. Rescue City demonstrates how simple robotics can enhance safety, promote independence, and save lives. Through this work, we strengthened our problem-solving, teamwork, and creative thinking skills while exploring how technology can make cities safer for everyone.

Mission Clean River - Smart Robots Solving a Dangerous Problem Our project presents a smart robotic system designed to solve a serious and urgent environmental problem. In our scenario, a city is in danger because its river has been polluted with radiation. This makes the water unsafe for people, animals, and nature. Situations like this can happen in real life, and they require fast, intelligent, and well-organized solutions. Our goal is to show how robots can work together to detect, monitor, and remove dangerous pollution. At the center of our system is the Eco-Base, which works as the brain of the operation. It receives information and sends instructions to all robots. This helps the system stay organized and respond quickly. The first robot to act is the Batmobile. It moves to the river to detect the danger and sends an alarm signal back to the Eco-Base. Early detection is very important because it allows the system to react before the problem becomes worse. Next, the helicopter flies above the city and observes the situation from the air. It gives a clear view of the river and the surrounding area. By sending real-time information to the Eco-Base, it helps improve decision-making. This shows how aerial support is important in emergency situations. Then, the SweepBot takes action. It moves along the river and removes radioactive waste from the water. By cleaning the river, it reduces the level of radiation and helps restore a safe environment. This is one of the most important parts of the project because it focuses on solving the problem directly. It also shows how robots can safely handle dangerous materials that are harmful to humans. All robots work together as one team. Each robot has a specific role, but communication and coordination make the system successful. This reflects real-world engineering systems, where teamwork is essential. Through this project, we developed important skills such as teamwork, problem-solving, and basic programming. We also learned about the importance of environmental protection and responsible use of technology. In conclusion, our project demonstrates how innovative robotic systems can provide effective solutions to real-world problems. It shows that with cooperation and smart design, we can protect our environment and create a safer future.

Vytvorili sme robota DMRob, ktorý vďaka predtrénovanej umelej inteligencii dokáže detegovať človeka. Počas toho, ako vás robot nasleduje, sa vie vyhýbať prekážkam vďaka senzorom po jeho stranách. Dôležité je však to, že sa s ním dokážete rozprávať. Robot je prepojený s OpenAI a pomocou vstavaného mikrofónu a reproduktora s ním môžete komunikovať. Jednoducho povedané, robot vie, čo je človek, nasleduje vás a počas toho sa ho môžete opýtať akúkoľvek otázku – napríklad na počasie, čas, alebo si nechať zapnúť pesničku na Spotify, časovač či stopky. Na DMRobovi beží niekoľko AI systémov súčasne. Celého robota sme vytvorili sami od úplných základov – od dizajnu a konštrukcie pomocou 3D tlače až po elektroniku a kompletný program.

Millions of people — elderly individuals and those living with chronic illness — face the same daily challenge: taking the right medication at the right time, without assistance. Missed doses, mix-ups, or incorrect combinations can have serious health consequences, and for family members and caregivers, the constant worry never truly goes away.

ALMO (Autonomous Medication Mobile Operator) is a fully autonomous home robot designed to solve this problem directly. Rather than relying on passive reminders or human intervention, ALMO physically navigates to the patient, delivers the correct medication dose at the scheduled time, and returns safely to its docking station — entirely on its own.

How it works: ALMO begins by mapping its environment using a 360° LiDAR scanner. At a set time, it leaves its docking station, plans a real-time route through the home, and avoids unexpected obstacles such as furniture or pets. Once it locates the patient and the delivery is confirmed, ALMO autonomously returns to base and recharges.

Hardware: The robot is built around a Raspberry Pi 5 as its central brain, handling SLAM-based localization, path planning, and all software logic. Three dedicated ESP32 microcontrollers manage motor control, wireless communication, and real-time sensor data processing. Mobility and awareness come from a 360° LiDAR scanner, four ultrasonic distance sensors, four DC drive motors, and a camera with computer vision for precise docking alignment.

Development challenges: Getting ALMO to a working prototype required solving several real engineering problems. The original DC motor configuration lacked sufficient torque under full load, which required a complete mechanical redesign to reduce chassis weight while maintaining reliable traction. Fusing data from multiple sensors into a coherent awareness layer demanded extensive testing and calibration, as did building the autonomous mapping and navigation system from scratch.

Result: ALMO is a functional prototype that can navigate a home environment independently, safely, and without any manual control. It demonstrates that modern robotics can have a direct, meaningful impact on the daily lives of people who need care — giving patients greater independence, and giving their families peace of mind.

I built a robot called Jeff II, which is a humanoid and mimics the movements of a human.

I based it on my previous robot, Jeff I.

At first, I studied human anatomy with the help of Dr. Benčo.

Based on this information, I built Jeff II.

Due to its construction, I had to find a way to prevent it from falling over while imitating human movements as closely as possible.

I gradually refined its movements.

The result is the robot that is not only able to walk straight and turn, but also do a squat, stand on one leg, etc.

I found that the more stable it moves, the more it mimics real human movements.

I am already working on the third generation of my humanoids. I have learned from my mistakes, and I am trying to use my gained experience. The new robot will be controlled by Invidia Jetson and will use AI. I would like to try machine learning – train it through Isaac sim so that it could adapt to the environment.

Cieľom bolo vyrobiť rehabilitačnú pomôcku pre dedka, ktorý má problémy s pohybom ruky, z bežne dostupných dielikov LEGO. Pomôcka je postavená z približne 597 dielikov Lego Technics a Lego Mindstorms EV3 — obsahuje vlastnú prevodovku prepojenú cez diferenciál, dva veľké a jeden malý servo motor, dotykový senzor, poistku, kostru ruky a programovateľný Intelligent Brick. Riadenie je napísané v jazyku Python vo Visual Studio Code. Ruka funguje v dvoch režimoch: pasívnom (rehabilitačná rukavica pri čakaní na rehabilitáciu) a aktívnom (exoskeleton pri paréze bicepsu a tricepsu).

Testovaním na dedkovi sa potvrdili obe hypotézy — z LEGA je možné postaviť funkčnú rehabilitačnú pomôcku, ktorá reálne zlepšuje pohyblivosť ruky. Potrebu takejto pomôcky potvrdil aj riaditeľ kúpeľov Nimnica. Plány: spevnenie 3D tlačou alebo TPU a pridanie masážneho modulu (verzia 3.0).