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Covid Self Driving delivery Robot
During the height of the COVID-19 crisis, automation became a crucial tool in reducing human exposure to high-risk environments. This project focused on designing an autonomous robot capable of navigating hospitals and public spaces to deliver medical supplies, disinfect areas, and assist in remote communication.
Task
My role was to bring the concept to life visually, shaping a functional and efficient design.
Developed the full design and 3D model of the robot
Ensured a compact and functional form suited for medical environments
Optimized the structure for smooth navigation and sensor integration
Created visualization content to support concept presentation and funding
Hospitals and essential workplaces faced staffing shortages and exposure risks. The goal was to design a robot that could autonomously handle simple but critical tasks—transporting supplies, disinfecting surfaces, and assisting in patient monitoring—without adding to the workload of healthcare professionals.
- Researched autonomous robotics applications in healthcare
- Designed an ergonomic and maneuverable structure for hospital use
- Integrated space for sensors, cameras, and disinfectant dispensers
- Created high-fidelity renderings for stakeholder presentations
Reduction in direct human contact during supply transport
Improvement in resource allocation for medical staff
disinfection of hospital corridors and rooms
Navigation with minimal supervision required
“The design was simple, practical, and adaptable. It made the integration of AI and sensors much easier for the team.” — Project Engineer
– Concept development
– Medical safety considerations
– Ergonomic optimization
– Material selection
– 3D modeling
– Industrial design principles
– CAD for rapid prototyping
– Design for manufacturing
– Agile Teamwork
– Stakeholder presentations
– Visualization for funding proposals
– Technical documentation
– Autonomous mobility constraints
– Sensor integration compatibility
– Medical-grade material considerations
– Simulation-based design validation