Clutter-resilient Autonomous Mobile Robot Navigation

Related lectures (32)

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Covers obstacle avoidance and navigation strategies in mobile robotics using sensors and potential fields.

Covers the components and challenges of mobile robot control, including mechanics, locomotion, sensors, and architectures.

Introduces the 'Mission to Mars' project where students control robots to perform tasks.

Covers the use of GNSS for space applications, including navigation, low-cost solutions, and real-time examples.

Covers the generation and processing of GNSS signals from satellites to Earth.

Explores paths, diffusion, and navigation in brain networks, including topics like Dijkstra's algorithm and network efficiency.

Covers the integration of visual perception and robotic actions in embodied AI.

Explores communications, navigation, and Earth observation through satellites for various applications.

Covers GPS navigation concepts, limitations, aided navigation, and accurate positioning.

Explores robot localization through positioning systems, odometry, sensor fusion, and error modeling.