About the role
AI summarisedDevelop next-generation robotic intelligence by tightly integrating AI-driven perception, planning, and behavior with real-world robot embodiment. This role involves hands-on contribution to research and deployment across ROS 2, advanced simulation, and industrial robotic platforms for applications in advanced manufacturing.
ResearchOnsite
Key Responsibilities
- Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.
- Assist in designing and conducting experiments to collect, process, and analyze experiment data.
- Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.
- Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.
- Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.
- Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.
- Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.
- Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.
Requirements
- Bachelor or Master degree in Robotics, Computer Science, Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.
- Strong foundational knowledge in robotics fundamentals (kinematics, dynamics, motion planning, and control).
- Proficiency in programming, especially Python and/or C++.
- Interest or exposure to robot learning concepts (e.g., Imitation Learning, Reinforcement Learning, Embodied AI).
- Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.
- Good communication skills for teamwork, documentation, and presenting ideas/findings.