Meet the researchers driving IRiSH Lab — who works on what, what they own day-to-day, and where their expertise lies.
Lab Director (Autonomous Mobile Robots & ROS)
Guiding the research direction of the lab in autonomous mobile robots, simulation, and ROS. Supervising students and fostering industry collaborations.
Faculty Researcher (Deep Reinforcement Learning)
Focusing on deep reinforcement learning and robot perception. Co-author of several AMR and drone navigation research papers.
Development of Multi-Position Finger Bot (MPFB) for AMR Elevator Button Pressing
managing laboratory operations, maintaining robotics hardware, developing web applications, and assembling and testing ROS simulation systems.
Alumni Researcher (Autonomous Systems & Deep Reinforcement Learning)
Contributed to research and development in autonomous systems, deep reinforcement learning, and unmanned aerial vehicles.
Assisting in lab sessions and maintaining equipment. Responsible for debugging and developing robot software, managing Gazebo simulation, ROS2 environments, and navigation stacks (AMR, SLAM, Perception, Deep Learning).
Supporting lab sessions and equipment maintenance. Specializing in debugging, robot software development, and managing ROS/Gazebo simulations with a focus on AMR navigation, SLAM, and deep learning.
Assisting in lab sessions, debugging, and developing robot software. Responsible for managing robot simulations and ROS integration.
Assisting in lab sessions and managing laboratory equipment. Responsible for robotics hardware maintenance, web development, and the assembly and testing of ROS and simulation systems.
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Supporting lab research and development with a focus on autonomous mobile robots and industrial robotics applications.
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Assisting in lab research and development, specializing in autonomous mobile robots and industrial systems integration.