Maddu's portfolio

As a designer for e-Yantra, my work involved crafting engaging stories and creating immersive arenas for participating student teams to enhance the organization's robotics competition offerings. These stories helped the learner create autonomous robots with a clear vision in mind. Participants validated their concepts in simulations before real-world implementation, ensuring a blend of creativity and practicality. Building narrative based arenas allowed me to contribute to the education and skill development of students interested in robotics.

arena design

NEXT-GEN MEGACITY: a future city with automated multi-package medical delivery system

https://www.youtube.com/watch?v=M5p32bWjzZ0&t=14s

'Pharma Bot' is an innovative autonomous pick-up and drop robot designed for efficient medical package delivery from pharmacies to various city locations. In a virtual arena simulated in CoppeliaSim, resembling a city environment with roads, signals, and detours, the robot navigates through intersections, efficiently picking up multiple medical supplies. Student teams engage in hands-on learning, acquiring skills in image processing, line following, robot simulation, Python programming, and path planning using key tools like CoppeliaSim simulation, OpenCV, Python, and Raspberry Pi programming. The robot optimizes routes to deliver medical packages swiftly, enhancing the learning experience in practical robotics applications. This project not only equips students with valuable technical skills but also addresses real-world challenges, contributing to the future of efficient and technology-driven medical logistics. I was tasked to design 3D assets in a modular format to act as building blocks to represent a city like environment for the robot to traverse through, enhancing the narrative of the competition.

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WONDER VILLAGE: a rural region based arena designed for highly maneuverable robots

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FUTURE FARMS: a completly autonomous urban greenhouse arena

https://www.youtube.com/watch?v=gG0836T_zfg

'Krishi Bot', developed by e-Yantra, is an educational autonomous robot for agricultural purposes. Participating teams learn to remotely navigate the robot in a greenhouse, identifying, plucking, and depositing bell peppers. The competition involves image processing, robotic arm manipulation, and autonomous navigation, using tools like ROS, Gazebo, OpenCV, Python, and MoveIt. Participants gain skills in simulations, image processing, robotics, and contribute to the advancement of agricultural technology for a sustainable future. The greenhouse arena both in simulation and real life using artificial leaves and magnetised bell peppers designed by me ensures a challenging and constant testing environment.

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https://www.youtube.com/watch?v=ba-02avBmck&t=4s

'Swatchata Bot', an FPGA-based robot designed for efficient waste management in urban areas, can discern between dry, wet, and metal waste as it traverses a city like arena. The robot identifies waste in city blocks, picks up garbage bins, and deposits them in designated dumping zones. Key features of the robot is the ability to navigate efficiently using the shortest path, parallel processing for color detection to determine waste types, and UART communication. Equipped with a mechanical arm, it picks up and drops waste at designated zones. Students involved in this project gain skills in FPGA, Verilog HDL, design and verification, architecture design, and sensor and actuators. The tools utilized for development are Quartus Prime and ModelSim, enabling students to apply their knowledge to real-world challenges in waste management and robotics. The arena is designed to represent several city sections separated by green patches and connected by roads in a plan view. The road extensions from the primary road are particulary designed to vary from 90 degrees to increase difficulty.

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SUSTAINABLE SUBURBS: a suburban arena implementing automated waste disposable systems

https://www.youtube.com/watch?v=ZXfE4w2rfFc

The 'Delivery Bike' is a self-balancing two wheel robot designed for contactless delivery in areas with narrow or congested roads. This innovative vehicle utilizes a reaction wheel for balance and follows a designated line with intermediate nodes for action triggers. It navigates through a simulated arena representing a small town featuring challenges like slopes, banked roads, speed bumps, sharp turns, and dead ends. Student teams involved in this competition gain valuable skills in Lua programming, robot simulation, control systems, mechanical design, and embedded systems. The tools employed include CoppeliaSim, Octave, Fusion 360 or Solidworks for mechanical design, and e-Yantra’s custom development board, e-YFi Mega. This project not only enhances technical expertise but also addresses real-world challenges in logistics by incorporating advanced technologies and fostering interdisciplinary skills, develop efficient and innovative solutions for last-mile delivery in diverse environments. I designed the virtual arena to resemble a small village comprising of farm lands, domestic animal shelter, hospital, school, residential huts, water body, undulating vehicle paths, flora and a bridge to provide an immersive experience.

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MODULAR METROPOLIS: a modular cityscape arena

https://www.youtube.com/watch?v=RA24blbzaBA&t=15s

The 'Functional RoadBot' is an autonomous robot dedicated to enhancing urban infrastructure by identifying and repairing potholes in city streets. This innovative robot patrols designated city sections, utilizing image processing to identify potholes and employing a dispensing mechanism to fill them. Participating student teams engaged in this project acquire skills in functional programming language (Elixir), image processing, algorithm development, and mechanism building. The Road Bot's algorithm determines the appropriate material and quantity needed to efficiently fill potholes of varying sizes. Key tools used include the Elixir programming language, a Raspberry Pi-based Alphabot, and Autodesk Fusion 360 for designing the dispensing mechanisms, fostering technical proficiency addressing critical urban challenges, showcasing the potential of robotics and automation in maintaining and improving city infrastructure. The arena designed represents a plan view of a city and is modular in nature to provide varying difficulty levels for the robot to traverse through.

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