Join our innovative robotics team at TCS Medical Robotics Center, TCS Hall on Carnegie Mellon University’s Pittsburgh campus as an intern, contributing 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 collaboration 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)
Understanding of software development best practices
Educational Background
Pursuing a degree in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
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 skills for interdisciplinary collaboration
Interest in healthcare innovation and improving patient outcomes.
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