I am a PhD Student at USF investigating biologically plausible spatial cognition models implemented in mobile robotics. At USF, I manage Dr.Weitzenfeld's Bio-Robotics Lab, were we develop spatial cognition models for mobile robotics. I also lead USF's RoboBulls team, which developed robotic systems that compete in collegit compitions all over the world.
Projects:
Summer 2022:
Developed a new deferential drive robot, dubbed HamBot, capable of performing navigational tasks.
Implemented a Hambot OS, allowing users to remote into the device over WiFi to control the robot.
A controller has been implemented in Python, which allows us to access all the system components onboard the HamBot.
Fall 2022:
Worked on expanding our multi-scale place cell spatial cognition model to incorporate latent learning.
Developed a simulation in Webots for the RoboBulls team to develop our coding base to compete in the MicroMouse competitions.
Link to Coding Base: https://github.com/biorobaw/RoboBulls-MicroMouse
Fall 2023
Developed FAIRIS and FAIRIS-Lite project code bases, allowing users to implement robotic control and ML models for spatial navigation.
The code bases enable users to implement models within Webots without setting up the control logic or world simulations. It is a plug-and-play solution for developing ML models applied to Robotic Navigation and SLAM.
HamBot V1
Developed by Chance Hamilton in Summer 2022
HamBot V3
HamBot is a custom-built mobile robot designed for both physical and simulated environments. It features a differential-drive system with two independently controlled wheels, allowing it to turn and navigate with precision.
Built using a Raspberry Pi and the Build HAT for motor control
Equipped with:
A camera for vision-based tasks
An IMU for orientation sensing
A 360° LiDAR for mapping and obstacle detection
Powered by a rechargeable battery
Used in research and teaching for topics like localization, navigation, and machine learning
Virtual model matches the real HamBot’s dimensions and behavior
Includes simulated:
Motors with encoders
Camera, IMU, and LiDAR
Ideal for prototyping and testing algorithms before deploying on the physical robot
HamBot is a versatile platform that bridges simulation and real-world robotics, making it perfect for education and experimentation.