A Quadruped-UR5 Robotics Testbed integrates a UR5 robotic arm and a quadruped robot to create an autonomous experimental setup. Combining sensor fusion and control algorithms, the system continuously collects, processes, and applies sensor data to optimize robot performance. The project aims to advance robotic autonomy, improve experimental precision, and foster research in robotic systems using…

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,…