Robotics Programming Testing Intern

Position Overview

Join our innovative robotics team at TCS Medical Robotics Center, TCS Hall on Carnegie Mellon University’s Pittsburgh campus as an intern. You will contribute to the programming and testing of advanced robotic platforms, with a focus on medical robotics applications. This 3‑month internship offers hands‑on experience with innovative technology in a collaborative, research‑driven environment.

Key Responsibilities

• Programming & Development:
  • Develop software for robotic platforms, including Misty II social robots, Unitree U6 humanoid robots, mobile robots, and OEM robotic arms with different grippers.
  • Write clean, efficient code in Python, C++, or other relevant languages.
  • Implement algorithms for robot control, navigation, and manipulation, with applications in medical robotics.
  • Integrate sensors, actuators, and control systems for medical and assistive robotic systems.
• Testing & Validation:
  • Design and execute rigorous testing protocols for robotic systems and software.
  • Conduct functionality, performance, and safety tests, emphasizing medical robotics standards.
  • Document results, troubleshoot issues, and collaborate on solutions.
  • Perform field tests to validate performance in real‑world medical scenarios.
• ROS Development:
  • Build and maintain ROS (Robot Operating System) packages and nodes.
  • Create custom message types, services, and action servers for robotics applications.
  • Implement navigation, perception, and manipulation functionalities in ROS.
  • Debug and optimize ROS‑based applications for medical robotics.

Required Qualifications

• Technical Skills: Proficiency in Python and C++ programming; experience with ROS (Robot Operating System); knowledge of robotics fundamentals (kinematics, control systems, sensor integration); familiarity with Linux/Ubuntu and version control (Git); and an understanding of software development best practices.
• Educational Background: Pursuing a degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field; with coursework in robotics, programming, or automation systems.

Preferred Qualifications

• Exposure to medical robotics or assistive technologies.
• Experience with robotic platforms (e.g., mobile robots, manipulators, or humanoid systems).
• Familiarity with computer vision libraries (e.g., OpenCV, PCL).
• Knowledge of simulation tools (e.g., Gazebo, Coppelia Sim).
• Understanding of machine learning applications in robotics.
• Experience with hardware interfaces or embedded systems programming.
• Personal Attributes: strong analytical and problem‑solving skills, attention to detail and commitment to accuracy in robotics applications, excellent communication for interdisciplinary collaboration, and an interest in healthcare innovation and improving patient outcomes.