The research group of the Unmanned Vehicles Robotarium Systems lab is mainly composed of researchers, scientific personnel and graduate (Ph.D. and M.Sc.) students. Since its creation in 2004, the Lab has trained several students working on diverse areas of unmanned vehicle systems. If you would like to know about our past projects and the students that worked on such developments please check our "Former Students" webpage.


The current team members of the lab are listed below ( R&D Fellows: 1  ;  Ph.D.: 9  ;  M.Sc.: 6  ;  B.Sc.: 1 ):

Principal Investigator:

Dr. Alex Ramirez-Serrano, P.Eng.

Professor  /  Mechanical & Manufacturing Engineering  /  Director UVS Robotarium Lab.


Office:  MEB-523

Laboratory (Robotarium):  EEEL-124 & EEEL-125

Curriculum Vitae



  • Post-Doc,  Control & Robotics  -  Argonne National Laboratory  -  U.S.A.  (2002)

  • Ph.D.Mechanical & Industrial Eng  -  University of Toronto (UofT)  -  Canada  (2000)

  • M.Sc.Computer Science - Artificial Intelligence  -  Monterrey Tech (ITESM)  -  Mexico   (1996)

  • M.Sc.Mechanical & Aerospace Eng  -  Illinois Institute of Technology (IIT)  -  U.S.A.  (1993)

  • B.Sc.Mechanical Engineering  -  Univ. Autonoma Metropolitana  (UAM)  -  Mexico  (1992)

Post-doctoral / R&D Fellows:

Jeehae Chae

Project: Design of a 3D-printed life-size humanoid robot torso using biomimicry concepts.

Ph.D. Students

Melina Varguez R.
Student in BIomendical Eng.

Thesis: Bio-engineering humanoid motions.

Develop bio-engineering motion adaptation approaches for humanoids maneuvers.

Marshall Staples
Co-supervisor Dr. Chris Hugenholtz

Thesis: Sniffer drone.

Develop UAV navigation methodologies for the detection of fugitive emissions.

Pablo Segura Parra
Co-supervisor: Dr. Ma. Lobato Calleros Student at the Univ. Iberoamericana

Thesis: Human-robot interaction (HRI) study.

Study & development of HRI interaction mechanisms for industrial applications.

Maryam Taherinezhad

Thesis: Multi-sensor navigation of UVS.

Multi-sensor maneuvering control of acrobatic UAVs in GPS-denied confined environments.

Sherif M. Hassan
Student in the Dept. of Elect. Eng.

Thesis: Navigation of autonomous vehicles.

Integrated guidance, navigation, and control of a highly-maneuverable transitional UAVs.

Ahmed G. Habashi
Student in the Dept. of Elect. Eng.

Thesis: Control of stabilized landing platform.

Development of stabilized landing platforms for highly maneuverable UAVs.

Martins O. Efemuai

Thesis: UAV deployment for the railway industry.

Deployment of UAVs in the Railway industry for mitigating the risk of maintenance crew.

Amir Gholami

Thesis: Multi-contact control of legged robots.

Control of acrobatic biped & quadruped robots operating in unstructured spaces.

Hossein Keshavarz

Thesis: Perceptive whole-body planning.

Whole-body planning for multi-legged robots in 3D confined unstructured confined spaces.

M.Sc. Students

Rodrigo Garza

Thesis: Reinforcement learning for humanoids.

Acrobatic manuevers of humanoid robots via deep reinforcement learning control.

Parastoo Dastangoo

Thesis: Multi-contact humanoid control.

Develop multi-contact control systems to enable humanoids operate in confined spaces.

Saquib Khalid

Thesis: Course-based student working on automation systems.

Benjamin Dalman
Co-supervise with Dr. C. Johansen

Thesis: Supersonic UAV Aerodynamics.

Development of a supersonic UAV design (flight analysis and aircraft geometry).

Benjamin J. Durante
Co-supervisor Dr. Craig Johansen

Thesis: Control of a supersonic UAV.

Development of a control architecture for small scale (1-2 wingspan) supersonic UAVs.

Andrea Rossolini
Co-supervisor: Dr. A. Asperti
Student at the Univ. of Bologna

Thesis: Artificial Intelligence for legged robots.

Reinforcement learning for multi-legged robots navigation in unstructured 3D confined spaces.

B.Sc. Students

Kshitij Anand

Project: Design of a Transitional UAV.

CAD analysis/design and control of a highly maneuverable transitional UAV.

Nothing is impossible !"

We aim to develop technologies to ensure that unmanned vehicles can deal with unexpected situations (changes, errors, etc.) or tasks that challenge their sensing, modeling, planning, adaptation, or movement envelopes.

We are working to realize fully autonomous robots with effective human-robot interaction capabilities. 

Dr. Alex Ramirez-Serrano

Director of the Unmanned Vehicles Robotarium laboratory

© 2018 by Dr. Alex Ramirez-Serrano