Control‑Software Intern (Autonomous Vehicle Retrofit)

Main goal Develop ROS 2 control software that converts a low‑speed campus EV’s brake, throttle or steering into a closed‑loop drive‑by‑wire subsystem running on an NVIDIA Jetson. Companion project This software role runs  in parallel with a separate Mechatronics‑Hardware internship  (see “Autonomous Vehicle Retrofit – Hardware” on Riipen). If you prefer to work as a pair with a hardware‑focused teammate, mention it in your application. Key tasks Tool scan (OSCC, raptor‑dbw‑ros2). Evaluate linear‑actuator vs. DAC throttle schemes. Collaborate with hardware intern on sensor limits. Integrate CAN messages with Telebotics safety ECU.

Mechatronics‑Hardware Intern (Autonomous Vehicle Retrofit)

Main goal Retrofit a low‑speed campus EV’s pedals and steering column with commercial linear actuators and a worm‑gear DC motor; produce CAD brackets and wiring harnesses. Companion project This hardware role runs  alongside a Control‑Software internship  (see “Autonomous Vehicle Retrofit – Software” on Riipen). If you’d like to pair up with a software‑focused learner, please note it in your cover letter. Key tasks Select actuators and motor. Compare COTS vs. custom hardware ROI. Coordinate sensor pin‑outs with software intern. Fit brackets to vehicle chassis and test.

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.

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.