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) — extracted question text · 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. Check the original PDF for equations, diagrams and complete wording. Extracted: 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