Building an Autonomous System for Low-Speed Delivery Vehicles

The project aims to develop an autonomous solution for low-speed vehicles (LSVs) used in last-mile delivery, focusing on cost-effectiveness and enhanced functionality. The primary goal is to integrate advanced safety systems and remote operation capabilities into these vehicles. By addressing key safety and operational challenges, the project seeks to improve the efficiency of LSVs in urban and suburban environments. Learners will apply their knowledge of autonomous systems, sensor integration, and remote control technologies to create a scalable solution. The project encourages innovation in vehicle automation, ensuring that the developed system is both practical and adaptable to various delivery scenarios.

ROS2 Development- Campus EV Tele-Operation

Students will develop and enhance the vision-based safety system for our remotely operated campus vehicle. The project focuses specifically on improving the ROS2 nodes that process camera and LiDAR data to detect pedestrians and obstacles. Students will work with existing sensor hardware to create more reliable detection algorithms, implement visualization tools for the operator dashboard, and thoroughly test the system's performance. This focused project is ideal for computer science or robotics students with ROS experience who want to apply their classroom knowledge of computer vision and sensor processing to a real-world application.

Software Solution - Last Mile Delivery

The primary objective of this 80-hour project is to pave the foundational groundwork for a robotic delivery network. Emphasis is placed on the conceptualization, design, and development of a functional demo for individual working robots. The project aims to tackle core components, from formulating a robust software architecture to fine-tuning basic movement commands and safety measures like collision avoidance and battery management.

Design and Simulation (Hardware)- Cargo Delivery Robot

The main goal of the project is to develop a conceptual design for a cargo delivery robot, conduct simulations to assess its functionality and efficiency, and create a detailed 3D model of the design. The emphasis is on the robot's base structure, which should be optimized for cargo carrying, stability, and maneuverability in urban environments.