ME60033: Intelligent Machines And Systems
| ME60033 | |||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Course name | Intelligent Machines And Systems | ||||||||||||||||||||||
| Offered by | Mechanical Engineering | ||||||||||||||||||||||
| Credits | 4 | ||||||||||||||||||||||
| L-T-P | 4-0-0 | ||||||||||||||||||||||
| Previous Year Grade Distribution | |||||||||||||||||||||||
| |||||||||||||||||||||||
| Semester | Autumn | ||||||||||||||||||||||
Syllabus
Syllabus mentioned in ERP
Scope of machine intelligence in manufacturing systems - modelling and control of processes and machines. Machine learning for system modelling from incomplete, ambiguous information. Neuro-Fuzzy-Expert systems for uncertain reasoning. Concept learning, associative memory and connectionist learning systems. Data abstraction in parallel distributed architectures. Model based optimisations using evolutionary algorithms. Genetic algorithms. Sensor-based Robotic systems for assembly, welding, machining etc. and mobile robots. Task level planning and path planning. Multi-sensor integration for environmental interaction and error recovery. Principles and applications of sensors - displacement, force, tactile, temperature, acoustic, vision and range sensors. Visuo-motor coordination and navigation problems. Intelligent structures. Behavioural approach and subsumption architecture for learning from environment.
Concepts taught in class
Student Opinion
How to Crack the Paper
Classroom resources
Additional Resources
Time Table
| Day | 8:00-8:55 am | 9:00-9:55 am | 10:00-10:55 am | 11:00-11:55 am | 12:00-12:55 pm | 2:00-2:55 pm | 3:00-3:55 pm | 4:00-4:55 pm | 5:00-5:55 pm | |
|---|---|---|---|---|---|---|---|---|---|---|
| Monday | NC331 | |||||||||
| Tuesday | ||||||||||
| Wednesday | NC331 | |||||||||
| Thursday | NC331 | |||||||||
| Friday |