Aerospace-Engineering

DIAT

Department of Aerospace Engineering and Autonomous Systems

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Advanced Robotics & System Laboratory

Integration support with:

  • Robot Operating System (ROS)
  • Gazebo simulation environment
  • RViz visualization tool
  • OpenCV for computer vision applications.

Equipped sensors including:

  • LiDAR sensor for mapping and obstacle detection
  • IMU sensor for orientation estimation
  • Wheel encoders for odometry
  • Camera module for vision-based applications.

Experimental arena for:

  • Autonomous navigation
  • Path planning
  • Obstacle avoidance
  • SLAM (Simultaneous Localization and Mapping)
  • Multi-robot coordination experiments.

Experimental setup supports:

  • Pick-and-place operations
  • Position control
  • Trajectory tracking
  • Workspace analysis
  • Object manipulation tasks.

MATLAB/Simulink support for:

  • Robot modelling
  • Simulation
  • Control system design
  • Trajectory planning.

Integrated gripper/end-effector mechanism for grasping and handling lightweight objects.

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