Principal investigator
Faculty
Dr. Minghui Zheng
Associate Professor, J. Mike Walker ’66 Department of Mechanical Engineering, Texas A&M University
Ph.D., University of California, Berkeley, 2017. Research interests include control, planning, learning, human-robot collaboration, robotic disassembly, aerial robotics, and intelligent automation.
Current members
Doctoral students
Fall 2021, co-advised by Dr. X. Liang
Sibo Tian
Sibo Tian received the B.S. degree in flight vehicle design & engineering from Dalian University of Technology, China, in 2019, and the M.S. degree in mechanical engineering from University of California San Diego, San Diego, CA, USA, in 2021. He is currently pursuing the Ph.D. degree in mechanical engineering from Texas A&M University, College Station, TX, USA. His research interests include prediction, planning, learning and control with applications to human-robot collaboration.
Prediction, planning, learning, and control for human-robot collaboration.
Fall 2022
Harsh Modi
Harsh Modi is from the town of Mehsana in Gujarat, India. He completed his bachelor’s from the Indian Institute of Technology Gandhinagar before working full-time in the automobile industry at Tata Motors Ltd. Pune, India. He also has a master’s degree from the Indian Institute of Technology Bombay. His research work and interests include robust control system design and path planning for mobile robotic systems such as UAVs. He is also interested in the design and manufacturing of mechatronics systems. His hobbies include biking, hiking, and traveling.
Robust control, path planning, UAVs, and mechatronic system design.
Fall 2023
Davood Soleymanzadeh
Davood earned his BSc and MSc in Mechanical Engineering from Amirkabir University of Technology, Iran, in 2016 and 2019, respectively. He is currently working on developing algorithms for robot motion planning and human motion prediction for collaborative human-robot interactions. His research interests include: robot task/motion planning, human motion prediction, and micro/nanomanipulation.
Robot task and motion planning, human motion prediction, and collaborative robot autonomy.
Spring 2024, co-advised by Dr. X. Liang
Chang Liu
Chang Liu received the B.S. degree in Energy and Power from Huazhong University of Science and Technology, China, in 2018, and the M.S. degree in Mechanical Engineering from the University at Buffalo, SUNY, US, in 2021. After graduation, he worked at HeyGears Inc., a 3D printer company, as a senior technical support engineer. He is currently pursuing a Ph.D. degree in Mechanical Engineering at Texas A&M University. His research interests include control system design, motion prediction, and planning, as well as utilizing deep learning and data science tools with applications to human-robot collaboration. His hobbies include traveling, photographing, and driving.
Control system design, motion prediction, planning, deep learning, and data-driven robotics.
Fall 2024
Yichang Feng
In 2021, he received a master of engineering in mechanical design and theory at Zhejiang University, China. After that, he started his 2.5-year research assistantship at Zhejiang University Robotics Institute, China, and mainly focused on integrating multiple mathematical theories and implementing them in robotic automation and intelligence. He is currently pursuing a Ph.D. degree in Mechanical Engineering at Texas A&M University. His interests include convex optimization, machine learning, robotic motion planning, and collision avoidance.
Convex optimization, machine learning, robotic motion planning, and collision avoidance.
Fall 2024
Jiurun Song
Jiurun Song received his B.S. degree in Engineering Mechanics and M.S. degree in Mechanics from Dalian University of Technology, China, in 2021 and 2024, respectively. He is currently pursuing a Ph.D. in Mechanical Engineering at Texas A&M University, College Station, TX, USA. His research interests include human motion prediction, motion planning and learning-based control of robot manipulators.
Human motion prediction, motion planning, and learning-based control for robot manipulators.
Fall 2024
Bihao Zhang
Bihao Zhang received his B.S. in Mechanical Engineering from University of Science and Technology of China in 2024. He is currently pursuing a Ph.D. in Mechanical Engineering at Texas A&M University. His research interests include mechanical & control systems design. His enjoys being in sunlight and watching plants and critters.
Mechanical and control systems design for robotic and mechatronic systems.
Fall 2025
Jiuzhou Lei
I am a Ph.D. student working in robotics. My earlier work centered on perception and SLAM for autonomous navigation. My current active research is on robot learning to solve and improve the deployability, controllability, and adaptability of robotics systems like manipulators in real-world applications. I graduated from Sichuan University with a bachelor’s degree in mechanical engineering and University of Pennsylvania with a master’s degree in robotics.
Robot learning, perception, SLAM, deployability, controllability, and adaptable manipulation systems.
Alumni
Former lab members
Doctoral alumni
Spring 2019 – Summer 2022
Dissertation: Task Allocation and Disassembly Sequence Planning for End-of-Use Products Considering Human-Robot Collaboration.
Fall 2018 – Fall 2022
Dissertation: Learning-Based Control and Trajectory Generation for Drones, co-advised with Dr. Liang.
Spring 2020 – Spring 2023
Dissertation: Efficient and Safe Robot Planning in Human-Robot Collaboration.
Master’s alumni
Shathushan SivashangaranFall 2018 – Fall 2020, Thesis
Chang LiuFall 2019 – Fall 2020, Thesis
Vincenzo CarrFall 2018 – Fall 2020, Project
Wansong LiuFall 2017 – Fall 2019, Thesis
Revant AdlakhaFall 2017 – Summer 2019, Thesis
Nimish MishraFall 2017 – Spring 2019, Project
Aditya Jagdish ShirurkarFall 2017 – Spring 2019, Project
