Research Fellow (Embodied AI)
Core
Develop and implement perception and control algorithms for robotic arms and embodied AI systems to advance AI-driven robotic systems for real-world applications.
Role type
Research Fellow (Embodied AI)
Builds
Novel algorithms and robotic platforms for human-robot interaction, robotic perception, and intelligent control
Domain
Robotics, Embodied AI, Industrial Automation
Deliverable
production ML models
Required skills
Robotic perception, Control algorithms, Learning-based methods, Python, C++, ROS, MoveIt, Machine learning, Reinforcement learning, Vision-language models
Preferred skills
Experience with robotic arms (UR5, Franka Emika), Hardware integration
Technologies
Python, C++, ROS, MoveIt, UR5, Franka Emika
Responsibilities
Develop and implement perception and control algorithms for robotic arms and embodied AI systems; Integrate multimodal AI models with robotic systems; Conduct experiments in simulated and real-world environments; Work with hardware platforms including robotic manipulators and mobile robots; Support preparation of research publications, reports, and presentations; Collaborate with faculty, postdocs, and industry partners; Assist in maintenance and operation of research lab equipment and robotic systems
