Robotics

CRA335: Collaborative Robotics syllabus for Robotics 2021 regulation (Professional Elective-I)

Collaborative Robotics detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the Robotics students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Robotics & Automation Engineering 5th Sem scheme and its subjects, do visit Robotics 5th Sem 2021 regulation scheme. For Professional Elective-I scheme and its subjects refer to Robotics Professional Elective-I syllabus scheme. The detailed syllabus of collaborative robotics is as follows.

Course Objectives:

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Unit I

INTRODUCTION TO COBOTICS 9
Collaborative Robotics- Properties – Introduction to Modern Mobile Robots: Swarm Robots, Cooperative and Collaborative Robots, Mobile Robot Manipulators-Current Challenges.

Unit II

SWARM ROBOTICS 9
Introduction, mapping, kinematics and trajectory error compensation, state transitions, collective decision making and methodologies, swarm robot scenarios-aggregation, clustering dispersion, pattern formation, sorting, flocking and collective motion, shepherding, heterogeneous swarms, Error Detection and Security.

Unit III

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Unit IV

NATURALLY INSPIRED COLLABORATION 9
Collective Decision-Making. Group Decision Making in Animals, Collective Motion as Decision Process, Models for Collective Decision-Making Processes, Urn Models, Voter Model ,Majority Rule , Hegselmann and Krause , Kuramoto Model , Axelrod Model, Ising Model, Fiber Bundle Model, Sznajd Model, Bass Diffusion Model, Sociophysics and Contrarians .

Unit V

RECONFIGURABLE ROBOTS 9
V-Shaped Formation Control for Robotic Swarms Constrained by Field of View – formation of reconfigurable virtual linkage – Reconfigurable Formation Control of Multi-Agents – Self-Assembly Modular Robot Platform Based on Sambot – Swarm Dynamics Emerging from Asymmetry.

Course Outcomes:

Upon successful completion of the course, students should be able to:

  1. Recognize the fundamentals of Collaborative Robotics
  2. Apply Swarm robots technology in real time applications
  3. Analyze and select the suitable concept of Modular Robotics and its Mechanics for modelling a collaborative robot
  4. Create various Natural models for robot collaboration
  5. Develop collaborative robots for various requirement in industrial tasks.

Text Books:

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Reference Books:

  1. Heiko Hamann, “Collective Decision-Making in Swarm Robotics: A Formal Approach”, Springer, 2019.

For detailed syllabus of all the other subjects of Robotics & Automation Engineering 5th Sem, visit Robotics 5th Sem subject syllabuses for 2021 regulation.

For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.

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