This project explores predator-prey dynamics using TurtleBot 4 Lite robots in a ROS2 Humble environment. It integrates real-time sensor fusion (LiDAR, IMU, depth camera), SLAM-based mapping, and adaptive control strategies to simulate biologically inspired behaviors. The predator robot pursues a dynamically evading prey within an obstacle-rich environment, demonstrating real-time decision-making, and autonomous navigation. This work…

This team’s project, Intelligent Voice-Controlled Mobile Manipulator, transforms a TurtleBot4 and MyCobot robotic arm into an intelligent, multi-modal robot. Using ROS 2, the system integrates live camera feeds, YOLOv8-based object detection, LiDAR-based obstacle mapping, and real-time IMU tracking. Voice commands guide the robot’s navigation and future manipulation tasks, creating a powerful platform for autonomous interaction….

This team’s project integrates a UR5 robotic arm with an OptiTrack motion capture system under a ROS2 framework to automate material testing procedures. The UR5 receives real-time 3D coordinates from OptiTrack to precisely position and release a test apparatus onto a designated target. It also identifies the location of a force gauge using marker tracking…

This team’s project builds an indoor robot that can move to a goal location by itself.  The team chose to use a TurtleBot 4 with sensors like LiDAR, IMU, and a camera, all connected to a Raspberry Pi running ROS2. An ESP32 device sends wireless goal locations to the robot. Using sensor data and commands,…