A*STAR

(Senior) Research Engineer, Autonomous Systems & Robotics,ARTC

A*STAR
ResearchSingaporeFull-time1 months ago

About the role

AI summarised

This is a senior research engineering role at ARTC focusing on autonomous systems and robotics, specifically Embodied AI for safe human-robot collaboration. The engineer will develop algorithms, integrate perception and control modules, and conduct experiments in collaborative environments.

ResearchFull-time

Key Responsibilities

  • Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
  • Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
  • Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
  • If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
  • Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
  • Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
  • Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
  • Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Requirements

  • Bachelor's degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
  • Strong foundation in robotics, AI, or control systems.
  • Experience or knowledge in one or more of the following areas: 1. Embodied AI and robot learning 2. Safety-aware motion planning and control 3. Proximity sensing and dynamic obstacle avoidance 4. Multimodal perception
  • Proficiency in programming languages such as Python, C++, or Matlab
  • Experience in software development, including version control and debugging techniques
  • Experience in industrial or manufacturing robotics environments.
  • Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
  • Strong communication skills to collaborate effectively with colleagues and present technical findings.
  • A passion for robotics and a desire to stay updated with the latest developments in the field.
  • Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.