Artificial Intelligence for Robotics
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Follow on Instagram for UpdatesArtificial Intelligence for Robotics Syllabus — Unit-wise Content
The official GTU curriculum for Artificial Intelligence for Robotics (subject code 2174101) as prescribed for Robotics · Semester 7 divides the course into 5 units, covering 18 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (2174101)Unit 1 Introduction
- state of the art, Need for AI in Robotics
- Thinking and acting humanly
- intelligent agents
- structure of agents
- PROBLEM SOLVING: Solving problems by searching – Informed search and exploration–Constraint satisfaction problems–Adversarial search
- knowledge and reasoning– knowledge representation – first order logic
Unit 2 Planning
- Planning with forward and backward State space search – Partial order planning – Planning graphs– Planning with propositional logic – Planning and acting in real world
Unit 3 Reasoning
- - Uncertainty Probabilistic reasoning–Filtering and prediction– Hidden Markov models–Kalman filters– Dynamic Bayesian Networks
- Speech recognition
- making decisions
Unit 4 Learning
- - Forms of learning – Knowledge in learning – Statistical learning methods –reinforcement learning
- perceiving and acting
- Probabilistic language processing
Unit 5 AI in Robotics
- - Robotic perception
- mapping- configuring space
- planning uncertain movements
- dynamics and control of movement
- Ethics and risks of artificial intelligence in robotics
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