Overview
We are seeking a Control Systems Engineering Intern to join our team at Flomad, where you will play a critical role in developing advanced control algorithms for our humanoid robot. This position offers a unique opportunity to work on dynamic modeling, motion planning, and real-time control systems, enabling robotic intelligence to interact seamlessly with its environment.
As a Control Systems Engineering Intern, you will contribute to designing and optimizing motion control strategies, simulating robotic movements, and integrating control algorithms with mechanical and electrical components. You will collaborate with robotics engineers, AI researchers, and mechanical designers to ensure the seamless functionality of our humanoid robot’s movement, stability, and autonomy.
Additionally, you will engage in continuous research and evaluation of emerging AI tools to enhance productivity, staying abreast of the latest technological advancements. This proactive approach ensures our team remains at the forefront of innovation, integrating cutting-edge solutions into our workflows. This internship is ideal for those passionate about robot dynamics, control theory, and AI-driven automation.
Key Responsibilities
- Develop and implement control algorithms for robotic locomotion, grasping, and real-time adaptability.
- Simulate control systems and analyze performance.
- Work closely with robotics engineers and mechanical designers to integrate control systems into robotic hardware.
- Document algorithms, write research reports, and contribute to publications in robotics and control systems.
- Participate in team meetings, brainstorming sessions, and workshops, contributing innovative ideas and problem-solving approaches.
Qualifications and Skills
- Familiarity with control theory and motion planning.
- Strong foundation in control theory, motion planning, and dynamic modeling.
- Creative problem-solving abilities and a strong mathematical approach to engineering challenges.
- Ability to work effectively in an interdisciplinary team environment, collaborating with roboticists and software engineers.
- Experience with real-time control implementation, PID tuning, and state estimation is a plus.
Why Join Us?
- Stay at the Forefront of Innovation: Research and implement the latest advancements in control systems, adaptive algorithms, and robotic autonomy.
- Fully Remote & Flexible Schedule: This internship is entirely remote, allowing you to contribute from anywhere. You can choose to work full-time (up to 40 hours per week) or part-time (a minimum of 8-10 hours per week) based on your availability.
- On-site Internship (Optional): If interested, we can offer onsite internships at two locations: Austin, Texas, and Lemnos, Greece.
- Work on Advanced Robotics & AI: Contribute to next-generation humanoid robots with AI-powered control systems.
- Interdisciplinary Collaboration: Engage with robotics engineers, AI researchers, and mechanical designers to bring innovative ideas to life.
- Hands-On Motion Control Experience: Gain real-world experience in trajectory optimization, robot stability, and intelligent automation.