Intelligent Robotics and Autonomous Systems
About Us
We are an intelligent robotics lab located at 401/405 Rhodes Hall in the main campus of the University of Cincinnati. The lab personnel consists of faculty PI, research associates, graduate students, and undergraduate students. We are conducting basic and applied research aiming at making robotic systems intelligent so that they can better work with or serve humans. The goal of the lab is to promote and support interdisciplinary collaboration among faculty and students across the College of Engineering. The currently supported research areas are:
- Control of robotic systems (manipulators, drones, spacecraft, mobile robots, etc.)
- Multi-robot collaboration
- Human-robot interaction and collaboration
- Smart aviation manufacturing
To support the research work in the above-listed areas, the lab has acquired or developed various equipment including: (1) three collaborative robotic arms, two Kuka iiwa robots and one Fanuc CR35iA robot, all capable of safely interaction with humans; (2) a rotorcraft drone with a 4-DOF robotic arm capable of aerial manipulation; (3) a ground robotic vehicle capable of SLAM and navigation; (4) a 12-camera Vicon 3D motion capture system for real-time tracking 3D motion of humans and robots with sub-millimeter accuracy; (5) a double-belt Bertec instrumented treadmill for measuring ground reaction force and moment of each foot while a human walking or doing other physical activity on the treadmill; (6) a 3-meter by 4-meter precision granite table and air-bearing supported satellite test platform for testing spacecraft and space-robot control systems; (7) a virtual reality system; and (8) various 3D motion and force sensors.
Projects
Engineers & Students
The team consists of highly skilled people that are dedicated to their work.
Dr. Ma PhD.
Alan B. Shepard Chair
School Info...
Description...
Lin Zhang PhD.
Senior Research Associate
New Mexico State University
Masters in Engineering
Can robots learn and improve their skills through practice?
Lin is devoted to answer this question with the help of deep reinforcement learning. Lin builds Gazebo environments, plays simulated robots with ROS and train neural networks on his robots using TensorFlow.
Check his github (https://github.com/linZHank)
Anoop Sathyan PhD.
Research Assistant
School Info...
Description...
Andy Barth
PhD Student, Research Assistant
Bacholors in Aerospace Engineering
Spent 15 years in the Aerospace field primarily for Lockheed Martin supporting the International Space Station and Orion Programs at the Johnson Space Center. Research interests include Spacecraft Guidance, Navigation, and Control and Spacecraft Robotic Control. Projects include development of a spacecraft simulator platform for use with the air bearing table.
Yufeng Sun
Graduate Student
Huazhong University of Science and Technology
Masters in Digital Design and Manufacturing
Yufeng joined UC as a graduate student in January, 2019 and is currently researching on robot control with heuristic approaches (reinforcement learning and fuzzy logic).
Caleb Bisig
Student Research Assistant
University of Cincinnati
Bachelors in Aerospace Engineering
Recently completing his undergraduate degree program at UC, Caleb’s co-op work in aerospace manufacturing focused on CAD design, tooling, fixtures and 3D printing. Now that he’s a part of the IRAS Lab, these skills are finding new purpose in developing robotics simulations, creating mock-ups of future environments for research proposals, and developing 3D printed components to assist in various prototypes. His future work involves study of robot motion error, with an interest in VR/motion tracking applications for this data.
Nathan Huber
Undergraduate Student
University of Cincinnati
Bacholors in Electrical Engineering Technology
Minor in Robotics and Automation
Nathan works on a variety of projects pertaining to collaborative robotics and automation by utizing two Kuka iiwa's and a Fanuc CR35iA. These projects consist of facial tracking and object tracking with the robotic arms and for the robotics systems to work collaboratively with humans by utilzing vision processing.
Contact.
Do you have questions on our projects? Send us an email!