COURSE OBJECTIVES
· To study the fundamental concepts of robotics.
· To impart knowledge on various sensors & actuators.
· To acquire the concept of kinematics and inverse kinematics.
· To understand basics of deep learning and reinforcement learning
· To learn about applications of AI in robotics
COURSE OUTCOMES
After Completion of the course the students will be able to:
CO1: Classify robots based on their geometrical configurations
CO2: Analyse Robot Motion using forward and inverse kinematics
CO3: Apply Deep Learning techniques for robotic perception
CO4: Analyse the performance of DLNN in localization strategies of Robots
CO5: Apply Reinforcement Learning techniques for Robotics Motion Control
CO6: Formulate AI algorithms for given automation task.
- Teacher: RAJSHREE A
- Teacher: MUTHIAH M. A
- Teacher: PRIYADHARSINI R
- Teacher: POORNAPUSHPAKALA S
- Teacher: SAHAYA ANSELIN NISHA A
- Teacher: SUGADEV M

- Teacher: Aranganathan A
- Teacher: Rajasekar B
- Teacher: EMIMAL M
- Teacher: EBENEZAR JEBARANI M R
- Teacher: MUTHIAH M. A
- Teacher: SAKTHI PRABHA R
- Teacher: karthikeyan S
- Teacher: Vijaya Baskar V

- Teacher: M Subramoniam .
- Teacher: ANJALINE JAYAPRABA A
- Teacher: RAJESWARI D
- Teacher: Rajalakshmi G
- Teacher: MUTHIAH M. A
- Teacher: PARUTHI ILAM VAZHUTHI P
- Teacher: POORNAPUSHPAKALA S