Postdoctoral Researchers

Guangyao Shi
Guangyao Shi
ude.csu@gihs   Website  

Guangyao mainly works on coordination and learning algorithms for multi-robot decision-making under uncertainty with an emphasis on information gathering applications.


PhD Students

Sumeet Batra
Sumeet Batra
ude.csu@artabss   Website  

Sumeet is interested in biologically plausible learning algorithms and models and their applications to robotics. Previously he worked on Quality Diversity Reinforcement Learning (QD-RL) and generative models for control. He is currently working on QD + language for open ended skill discovery, and planning as inference.


Darren Chiu
Darren Chiu
ude.csu@rraduihc   Website  

Darren is generally interested in multi robot systems that combine novel hardware design with unique algorithmic approaches. Currently, his research focuses on event based visual navigation through a swam of resource constrained quadrotors. Before coming to USC, Darren received my B.S.E in Electrical and Computer Engineering from Princeton University.


Ruohai Ge (joining Fall 2024)
Ruohai Ge (joining Fall 2024)
ude.csu@egiahour   Website  

Shashank Hegde
Shashank Hegde
ude.csu@edgehk   Website  

Shashank’s research interests include deep reinforcement learning, machine learning, and robotics. Shashank is a strong believer in the power of AI to improve the quality of life of people around the world.


Zhehui Huang
Zhehui Huang
ude.csu@uhiuhehz   Website  

Zhehui is interested in deep reinforcement learning and robotics, including robotic control and multi-agent.


I-Chun (Arthur) Liu
I-Chun (Arthur) Liu
ude.csu@uilnuhci   Website  

Arthur’s research interests lie in the fields of imitation learning and reinforcement learning for robotic manipulation. Currently, his research focuses on vision-based bimanual manipulation. Prior to joining USC, he completed a master’s degree in Computer Science from the University of California, Los Angeles (UCLA), and a bachelor’s degree in Computer Science from the University of Wisconsin-Madison.


Jeremy Morgan
Jeremy Morgan
ude.csu@ejnagrom   Website  

Jeremy’s research interests include developing novel Inverse Kinematics solvers and planning algorithms for manipulators. In the future he will transition to look at dexterous manipulation problems.


Gautam Salhotra
Gautam Salhotra
Website  

Bingjie Tang
Bingjie Tang
ude.csu@teijgnib   Website  

Bingjie is interested in learning-based approach for robot manipulation and simulation-to-reality transfer for contact-rich manipulation tasks. Before joining USC, Bingjie received an MS in Computer Science from Brown University and a bachelor degree in Computer Science from Huazhong University of Science and Technology.


K.R. Zentner
K.R. Zentner
moc.liamg@rentnezrk   Website  

KR’s research focuses on the intersection of Transfer Learning and Reinforcement Learning a.k.a. Transfer RL. Before joining RESL as a PhD student, she worked at Google, and previously earned a B.S. in EECS from UC Berkeley.


Grace Zhang
Grace Zhang
ude.csu@zecarg   Website  

Grace is generally interested in efficient robot learning methods by using prior multi-task data or learned policies. Specifically, her research focuses on efficient multi-task learning through shared behaviors and efficient inverse reinforcement learning using multi-task data.


Master’s Students

Rahul Krupani
Rahul Krupani
ude.csu@inapurkr  

Rahul’s fields of interest lie in Reinforcement Learning and Computer Vision. Currently Rahul is working on Deep RL for a drone control.


Vedant Mistry
Vedant Mistry

Ujjwal Puri
Ujjwal Puri

Ujjwal focuses on deep reinforcement learning for robotics.


Prashanth Ravichandar
Prashanth Ravichandar
ude.csu@06793rp   Website  

Prashanth is interested in reinforcement learning, classical controls, and robotics. Prashanth’s research efforts are geared towards the development of solutions that prioritize safety and the ability to generalize effectively in robotics, through the integration of learning-based and control theory strategies.


Zhaojing Yang
Zhaojing Yang
ude.csu@669gnayz  

Zhaojing’s research interests lie at the intersection of Reinforcement Learning and Robotics. Zhaojing is interested in applying learning method for optimal robot policies in both simulator and real-world. Zhaojing has experience in Deep RL for quadrotor control and the model can be zero-transfered to the real world. Their current focus is on efficient robot learning with RLHF.


Tao Yao
Tao Yao

Yulun Zhang
Yulun Zhang

Yulun focuses on deep reinforcement learning for robotics.


Undergraduate Students

Anisha Palaparthi
Anisha Palaparthi
ude.csu@trapalap   Website  

Anisha is an undergraduate studying Computer Engineering and Computer Science. At RESL Anisha works on using quality diversity algorithms to improve performance and resilience in complex RL tasks. Her research interests lie at the intersection of evolutionary algorithms, reinforcement learning, and AI for robotics. Outside of research, she enjoys teaching fun CS concepts and exploring classic cinema.