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. In this 3-month internship you will contribute to the programming and testing of advanced robotic platforms with a focus on medical robotics applications. This role 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.
• Strong analytical and problem-solving skills.
• Attention to detail and commitment to accuracy in robotics applications.
• Excellent communication skills for interdisciplinary collaboration.
• Interest in healthcare innovation and improving patient outcomes.