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Hafiq’s DRL-based robot is doing well in crowd navigation

Hafiq’s Deep Reinforcement Learning-based robot is doing well in crowd navigation. The DRL model was trained in one crowd setting and tested in different unseen crowd settings. In simulation, we have tested with up to 12 moving obstacles at a speed close to the robot. In real-world, we have tested with 4 obstacles at a …

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SLAM has been implemented on the Wanderer-v1

Amirul has implemented the Simultaneous Localization And Mapping (SLAM) on our Wanderer-v1 robot. The implementation was done from scratch involving writing Python scripts for the kinematics, motion and sensor models, particle filter for localization and A-star search for path planning. Details of the project is available here.