Project Difficulty
Challenging.
Reach out to Arm at education@arm.com if you’d like to participate in this challenge.
Target Audience
Computer Science, Electronic Engineering or Computer Engineering.
Description
This project challenges students to design, build, and evaluate a human-centric robotic system for urban deployment using Arm-based compute platforms such as Raspberry Pi 5, NVIDIA Jetson Orin Nano, etc. The primary focus is on deploying prototypes in a controlled campus environment for applications like last-mile delivery, eldercare assistance, or smart waste collection.
Participants will integrate real-time navigation, object manipulation, and human-interaction modules using state-of-the-art computer vision and sensor fusion frameworks. The second phase involves simulating or evaluating the robot’s impact on urban workflows and labor markets, including surveys or socioeconomic modeling techniques (e.g., system dynamics or agent-based simulation).
Potential Deliverables include:
- A working prototype running on an Arm-based platform
- Software stack (navigation, ML inference, interaction logic)
- Field evaluation results & UX data (e.g., survey or usage logs)
- Report of development process and considerations when prototyping an end-user product.
- A socioeconomic impact report using modeling or simulation techniques
Note: Arm does not offer direct channels to municipalities or public testing environments. Projects should focus on campus deployments, simulated environments (e.g., Gazebo).
Estimated Project Duration
6+ months
Team size: 2+ participants
Can be extended for dissertation-level depth or research publication.
Hardware / Software Requirements
- Languages: Any
- Tooling: Any
- Hardware:
- Raspberry Pi 4/5, Jetson Orin Nano or other Arm-based systems
- Sensors: Any
- Optional: Robotic chassis or simulation-only mode
- IP/Cloud Access:
- Any cloud service provider with Arm-based instances (for model training or data analysis)
Resources
- Reach out to Arm at education@arm.com if you’d like to participate in this challenge.
Benefits / Prizes
- Standout projects could be internally referred for relevant positions at Arm! 📃
- If your submission is approved, you could receive a recognised badge that you can list on your CV and share on LinkedIn. A great way to stand out from the crowd! 🎓
- It’s a great way to demonstrate your initiative and commitment to your field.
- It offers the opportunity to learn valuable skills that are highly relevant to a successful career at Arm! 🎉