Guangzhao(Zack) Li
Zack is driven to be a robotics architect with a vision in robot autonomy in human co-workspace. He aims to build more intelligent robots to transform how people perform daily tasks at work, and push forward the autonomous robotics revolution arising in the next decade.
With a background in aerospace, nuclear engineering, and startup work experience in building robotics operations from scratch, Zack hopes to bring his unique experience and perspectives to developing the DarkBot, an indoor autonomous search assistance robot, with a focus on both product planning and SLAM, as well as integration with motion planning modules.
In his spare time, Zack teaches snowboarding as a certified instructor. He is also often “distracted” by many of his hobbies, such as piano, snooker, badminton, ice hockey, riding a Ninja motorcycle, and newly certified open water scuba diving. For the next summer, he is trying to be a roboticist who knows how to DJ!
Kangni(Connie) Liu
Connie has a strong passion for robotics and machine learning. She loves to solve real world problems that could help make the world better. She has an undergrad degree in computer science and is currently studying at CMU Robotics Institute. She was a software engineer and worked closely with industrial robots for two years. She hopes to dive deeper into learning based computer vision and implement the knowledge and skills that she learned from both school and workplace to the Darkbot project.
Siddharth Saha
Saha is currently an MRSD 2024 graduate student and a J.N. Tata scholar. He completed his undergraduate studies at IIT Bombay with degrees in Mechanical Engineering and Computer Science. At IIT Bombay, he founded a quadruped robot team to tackle the Robocup Rescue League competition. He was awarded the Technical Citation for his technical excellence and contributions to the institute. Last year, he delivered two lightning talks at the ROS Conference 2021 on his Bachelor’s Thesis Project and his Google Summer of Code project at JdeRobot. His goal in the MRSD program is to gain expertise in planning and controls, which he enjoys as a purely intellectual pursuit. However, the passion that drives him through the MRSD program is to achieve the system integration skills that will enable him to think like a full-stack roboticist.
Andrew Wong
Andrew is a Master’s student at Carnegie Mellon University’s Robotics Institute. He was an electrical engineering major at National Taiwan University. Andrew has experience in machine learning and computer vision. He will be primarily focusing on robotic perception and SLAM for this project.