Rohit Roy majored in Mathematics and Control Theory, developing a strong foundation in analytical thinking, modeling, and dynamic system control. His academic background has cultivated a deep interest in robotics, particularly in the fundamental aspects of perception and control that enable intelligent and adaptive robotic behavior. This passion for bridging theory with real-world applications has guided his career toward exploring advanced robotic systems and their transformative potential in modern technology.
At Pegatron, Rohit contributes to the development of quadruped and humanoid robots, pushing the boundaries of next-generation robotics and intelligent automation. His work focuses on integrating mathematical precision with innovative engineering to drive progress in deep robotics applications. Beyond his professional pursuits, Rohit plays soccer and has proudly represented National Yang Ming Chiao Tung University (NYCU) in Taiwan.
Research Intern, Industrial Technology Research Institute (ITRI), Taiwan (2024)
Research and Development Engineer, Hurco Automation, Taiwan (2022 – 2024)
EDUCATIONAL BACKGROUND
PhD in Mechanical Engineering, National Yang Ming Chiao Tung University, Taiwan
Job Positions
Summer Intern
2 Vacancies
| Work Type: Full-Time
Co-Supervisor Information
Ted Dai
戴明火
Institution
PEGATRON
Division/Department
New Product Development Business Unit-Future Concepts Div.-Project Simba Dept.
Job Title
Special Assistant to CEO
Brief Introduction of the Department
【BU28, New Product Development Business Unit-Future Concepts Div.-Project Simba Dept.】
The department is a pioneer in next-generation robotics development, leading the way in Taiwan with cutting-edge research and innovation in quadruped and humanoid robots. As the first team of its kind in the country, it brings together a world-class interdisciplinary group of experts in software engineering, mechanical design, electrical systems, communications, and artificial intelligence. Through close collaboration across these diverse domains, the department is driving breakthroughs in intelligent robotics and autonomous systems. Its mission is to position Taiwan at the forefront of global robotics technology, shaping the future of smart machines and advancing the nation’s innovation ecosystem.
Department Staff Number
- More than 10 people
Internship Job Description
Modern AI control theory is guided by 2 main components:
1. Sim2Real Transfer – Reducing gap between simulation and real both in actuators and sensors.
2. Reinforcement Learning – AI control theory to generate policy for robot control in various skills.
Preferred Intern Education Level
- Undergraduate students (third year and above) - Master students - Ph.D. students
Preferred Intern Skill Sets or Qualities
- Control domain: Solid knowledge on model-based control, robot kinematics and dynamics, multibody dynamics, joint space and task space control, reinforcement learning (preferred).
- Programming: C++, Python, ROS/ROS2. Familiarity with Gazebo, IsaacSim, PyBulled or Mujoco for physics-based simulation. Some experience with CUDA and GPU acceleration is preferred for reinforcement learning/optimization tasks.
- Machine learning & AI: Familiarity with frameworks like Pytorch and tensorflow. Computer Vision and LLM/VLM/VLA hands on experience. Experience with sim-to-real transfer and domain randomization.
- Perception & State estimation: Familiarity with SLAM, sensor fusion and visual odometry. Experience with Kalman filters / non-linear estimation. Understandin of terrain mapping and footstep planning.
- Strong problem-solving skills with the ability to effectively troubleshoot and resolve control instability issues
- Proven ability to collaborate within interdisciplinary teams
- Excellent technical communication and documentation writing skills
- Innovative and adaptable, capable of transforming research outcomes into practical products
Others
- Expected working hours per week: 30+
- Salary/Financial Support: NT$20,000~30,000 per month
- Additional Benefits: NT$70 contribution per working day for meals
Students may be offered the opportunity to continue as interns for up to six additional months after completing the NTU International Mentorship Program, at the discretion of the host organization.