/SUSTech_CS401_Intelligent_Robot

Lectures given by Prof. HAO Qi

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SUSTech CS401 Intelligent Robot

Locomotion Kinemaatics

  • Simulate the kinematics of a robot with a differential drive
  • Simulate the motion control of a robot with a differential drive and show the resulting paths w.r.t. different control laws

Sensors

  • Simulate the process of mapping of a room by using a moving range sensor which knows its location accurately (randomly walking, or moving along a circle).
  • Simulate the process of localization with GPS signals. When sender-receiver clocks are either synchronized or not synchronized, how many satellites are needed to achieve 3D accurate positions, respectively?

Probabilistic Motion Models

  • Generate samples of the odometry-based motion model (N=500).
  • Generate samples of the velocity-based motion model for following cases (N=500).
  • Generate the map-consistent probability model in the following situation.

Probabilistic Sensor Models

  • Generate the beam-based measurement models with a mixture of four distributions (by choosing five different sets of parameters).
  • Given the following map, please generate scan measurement probability model and the beam measurement probability model. The map
  • Generate the following landmark measurement probability model by using 3 ranging sensors. the landmark map