Lead PI
Luis Sentis, PhD Stanford University
Professor in Aerospace Engineering and Engineering Mechanics, UT Austin
Research Interests: control of compliant human-centered robots, bipedal locomotion, design of humanoid robots, design and control of exoskeletons, control architectures, human-autonomy teaming
PhD students
Seung Hyeon Bang
PhD Student
Research: Motion planning for humanoid robots
Jee-Eun Lee
PhD Student
Current Research: Motion planning for climbing robots
Ryan Gupta
PhD Student
Current Research: Quadruped navigation in social environments
Heeyong Huh
PhD Student (co-advised with Prof. Nanshu Lu)
Research: Wearable EMG and EEG interface for human robot interaction
Carlos Gonzalez
PhD Student
Research: Experimental legged locomotion
Mingyo Seo
PhD Student (co-advised with Prof. Yuke Zhu)
Research: Imitation and reinforcement learning for robotics
Hyonyoung Shin
PhD Student (co-advised with Prof. Nanshu Lu)
Research: Optimization and Athletic Intelligence
PhD candidate students
Kyle Morgenstein
MS/PhD Student
Research: Safe robots
Andrew Repetski
MS/PhD Student
Research: API’s for human autonomy teaming
Chinmay Senapapthi
MS/PhD Student
Research: Human-Centered Robotics
Maxx Wilson
MS/PhD Student
Research: Optimization and Athletic Intelligence
MS students
Mehar Jaiswal
MS Student
Research: Mechatronic design of personal transporters
Samantha Lee
MS Student
Research: Structural Design & Rapid Prototyping Methods for personal transport robots
Karim Emara
MS Student
Research: Power systems for human-centered robots
Undergraduate Students
Juliana Rodriguez
Undergraduate Research Student
Research: Robo-Cup @Home Team Member
Esther Jin
Undergraduate Research Student
Research: Human-agent teaming
Kasuma Hirota
Undergraduate Research Student
Research: Human-agent teaming
Steven Ortega
Undergraduate Research Student
Research: Design of human-centered robots
Visiting Researchers
Luca Rossini
Visiting Researcher from the Istituto Italiano di Tecnologia
Research: Optimization methods for whole-body control and walking pattern generation