Courses By CRAIS

This course gives the deep learning concepts like convolutional neural networks, recurrent neural networks. It also gives an insight into concepts such as optimization for training models, extraction of features from the image. It provides good knowledge about optimization, dataset augmentation and noise robustness.

This course covers the kinematics and dynamics of robotic systems in a formal mathematical framework. Beginning with the representation of rotational and rigid body motions, topics range from forward and inverse kinematics to path and trajectory planning of manipulators. It also includes the study of sensors, actuators and various applications of robotic systems.

This course enable the students to have hands-on experience with mobile robots • To understand the physics of motion • To write program to operate mobile robots • To use mobile robots for accomplishing high level tasks • To enrich the mobile robotics applications to serve the society

The course supports in understanding various parts of the robots and basics of mathematical modelling needed • Understanding and design interfaces for sensors and actuators from hardware and software perspective • Understanding different aspects of microcontroller programming used in robots • Enabling to design and control robots for a specific application