B.TechSemester 52024-25Intelligent Systems And RoboticsBEC053

Intelligent Systems And Robotics (BEC053) - AKTU Question Paper 2024-25

B.Tech · Semester 5 · Free PDF Download

This is the official AKTU Intelligent Systems And Robotics Previous Year Question Paper for B.Tech Semester 5, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.

Course:B.Tech

Semester:Semester 5

Session:2024-25

University:AKTU / UPTU

Rate this paper

Questions Asked in 2024-25

Intelligent Systems And Robotics (BEC053) — complete question paper · 70 marks · 3 Hours

Section AAttempt all questions in brief. 2 x 07 = 14

a
Differentiate between mobile ground robots and uninhabited air vehicles
b
Define stability in the context of control systems
c
Define fuzzy logic in the context of robotics
d
Define Bayesian belief networks and their application
e
Differentiate between genetic algorithms and simulated annealing
f
Define a feed-forward network and its application
g
Explain decision tree

Section BAttempt any three of the following: 07 x 3 = 21

a
Compare and contrast mobile ground robots with uninhabited air vehicles, discussing their design and control challenges
b
Explain probabilistic path planni ng. Explain its process and ad vantages in robot navigation
c
Explain the role of probability a nd error models in measurement s y s t e m s ? Explain with examples
d
Explain decision trees structure and use in classification prob lems with examples
e
Compare genetic algorithms, sim ulated annealing, and particle s warm optimization in terms of their methodologies and applications

Section CAttempt any one part of the following: 07 x 1 = 07

a
Discuss the biological and cognitive paradigms used in robot design
b
Explain the Denavit-Hartenberg t ransformation in detail with an example for
a
two-joint robotic arm
a
Explain the principles of open-loop and closed-loop control sys tems with examples from robotics
b
Explain the significance of stab ility and performance analysis in control systems
a
Explain the Extended Kalman F ilter and Particle Filter techniqu es with applications in robotics
b
Explain the role of sensors in r obotics. Explain the different types of sensors and their integration in sensor-based estimation
a
Discuss Bayesian belief networks and their application in robot decision- making
b
Explain the process of task plan ning for individual and multipl e agents in robotics. Provide examples
a
Explain forward chaining and backward chaining with examples of their use in robotics
b
Discuss the implementation of de ep-learning algorithms in robot ics with specific examples of applications

Question text is extracted from the official AKTU question paper PDF above. Hindi translations are omitted — every question is printed in English in the original paper. Last verified: 2026-08-23.

More B.Tech Semester 5 (2024-25) Papers

Other subjects from same semester and session

Machine Design2024-25 Bio Medical Signal Processing2024-25 Turbo Machines2024-25 Essence Of Indian Traditional Knowledge2024-25 Cloud Computing2024-25 Design And Analysis Of Algorithm2024-25 Computer Vision2024-25 Advance Manufacturing Processes2024-25

View all B.Tech Semester 5 2024-25 papers →

Syllabus & More PYQs

Paper solve karne se pehle unit-wise syllabus dekh lo

AKTU 3rd Year PYQs — All Branches