Assistantship
Developed a photorealistic simulator using Isaac Sim for Aerial-Aquatic Mobile Manipulators (AAMs) to operate seamlessly across sea, air, and land environments, addressing the limitations of existing mobile manipulators.
The project benefits aerial, underwater, and mobile robotics research, with open-source code and datasets supporting further advancements.
TinyDepth: Generalized Neural Metric Depth for Palm-sized Robots. Under Review Nature npj Robotics
I designed a robot model, circuit, and programmed its motion, synchronized sensor data, developed ROS software, and integrated decision capabilities for navigating an unknown environment. This was vital for our research as the autonomous robot, within 6 cm scale, required real-time data, calibrated sensors, processing power, and a compact design for desired accuracy and autonomy.
Solidified my understanding of cognitive robotics through evaluating student work. This not only strengthens my grasp of concepts but also hones my ability to explain complex topics clearly. Cognitive Robotics Course Curriculum:
My current role as a Teaching Assistant allows me to actively contribute to students' learning experiences. It deepens my own understanding of these crucial control systems concepts and enhances my ability to effectively convey complex technical material. This comprehensive curriculum covered by the course:
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