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.: 11 ; M.Sc.: 6 ; B.Sc.: 2 ):
Dr. Alex Ramirez-Serrano, P.Eng.
Professor / Mechanical & Manufacturing Engineering / Director UVS Robotarium Lab.
Laboratory (Robotarium): EEEL-124 & EEEL-125
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:
Project: Design of a 3D-printed life-size humanoid robot torso using biomimicry concepts.
Melina Varguez R.
Student in BIomendical Eng.
Thesis: Bio-engineering humanoid motions.
Develop bio-engineering motion adaptation approaches for humanoids maneuvers.
Co-supervisor Dr. Chris Hugenholtz
Thesis: Sniffer drone.
Develop UAV navigation methodologies for the detection of fugitive emissions.
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.
Martins O. Efemuai
Thesis: UAV deployment for the railway industry.
Deployment of UAVs in the Railway industry for mitigating the risk of maintenance crew.
Thesis: Multi-contact control of legged robots.
Control of acrobatic biped & quadruped robots operating in unstructured spaces.
Maged M. Ibrahim
Thesis: Full-body motion planning of hybrid robots
Modeling, control, and planning of search & rescue multi-legged robots for confined spaces.
Thesis: Control of highly maneuverable VTOL.
Control/Path planning of thrust vectoring drones for operation in GPS-denied confined spaces.
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.
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.
Thesis: Perceptive whole-body planning.
Whole-body planning for multi-legged robots in 3D confined unstructured confined spaces.
Thesis: Reinforcement learning for humanoids.
Acrobatic manuevers of humanoid robots via deep reinforcement learning control.
Thesis: Multi-contact humanoid control.
Develop multi-contact control systems to enable humanoids operate in confined spaces.
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.
Thesis: Locomotion transition of hybrid robots.
Develop locomotion transition strategies for hybrid robots operating in confined spaces.
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.
Project: Design of a Transitional UAV.
CAD analysis/design and control of a highly maneuverable transitional UAV.
Project: Software architecture for humanoids.
Design of software & electronic components for a humanoid robot.
“Nothing is impossible !"
In this research lab. 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
for operations in unstructured hazardous confined GPS-denied spaces.
Dr. Alex Ramirez-Serrano
Director of the Unmanned Vehicles Robotarium laboratory