ARCS Lab Members
- Yorai Shaoul (RI PhD, Fall 2022)
Yorai earned a B.Sc. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 2021. His research interests span multi-robot task and motion planning, robotic manipulation, statistical learning, and computer vision. He works to harness insights from established planning algorithms to address messy real-world challenges in manipulation.
- Yulun Zhang (RI PhD, Fall 2022)
Yulun received a B.Sc. and an M.Sc. in Computer Science from the University of Southern California in 2021 and 2022. His research interests include human-robot collaboration, multi-robot coordination, evolutionary algorithms, and quality diversity optimization. As a long-term goal, his research focuses on bringing Quality Diversity Optimization and Evolutionary Optimization to Robotics, expanding their applicability and scalability.
- He (Rivers) Jiang (Master of Science in Robotics, Class 2024)
He Jiang received a Bachelor's degree in Computer Science and Engineering from Shanghai Jiaotong University in 2017 and another Master's degree in Control Science and Engineering from Tsinghua University in 2020. Then he worked for more than 1 year at Hangzhou High-Tech Zone (Binjiang), China. He is interested in planning and his current research focuses on Multi-Agent Systems. Hopefully, he can enjoy his days at CMU and do some meaningful work. He is also interested in Soccer, Poker, Chinese Chess & Nintendo Switch, by the way.
- Jingtian Yan (Research Assistant)
Jingtian received a B.Sc. from Zhejiang University in 2020 and an M.Sc. from the Carnegie Mellon University in 2023. His research interests include multi-robot coordination, autonomous exploration, and Multi-Agent Path Finding.
- Ying Feng (CS undergraduate, Class 2024)
- Shravan Kumar Gulvadi (Mechanical Engineering Masters, Class 2022)
Shravan received a B.Eng. in Mechanical Engineering from The National Institute of Engineering, Mysore, India in 2016 and is interested in Robot Autonomy, Control, Reinforcement Learning, Multi-Robot Coordination and Artificial Intelligence.
- Yimin Tang (Master of Science in Robotics, Class 2023)
Yimin received a B.Eng. in Computer Science from ShanghaiTech University in 2020 and worked as an SDE in Microsoft AzureStack Team for a year. His research is now focused on Multi-Agent Reinforcement Learning and Multi-Agent Path Finding. He also participated in some publications related to grasping and human-computer interaction in ICRA and CHI. He is familiar with traditional data structures and algorithms and has several prizes in NOIP, NOI, and ICPC.