Mobile Robotics detailed syllabus for Robotics & Automation Engineering (Robotics) for 2021 regulation curriculum has been taken from the Anna University 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 7th Sem scheme and its subjects, do visit Robotics 7th Sem 2021 regulation scheme. The detailed syllabus of mobile robotics is as follows.
Course Objectives:
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Unit I
INTRODUCTION TO MOBILE ROBOTICS 6
Introduction – Locomotion of the Robots – Key Issues on Locomotion – Legged Mobile Roots -Configurations and Stability – Wheeled Mobile Robots – Design Space and Mobility Issues -Unmanned Aerial and Underwater Vehicles – Teleportation and Control.
Unit II
KINEMATICS 9
Kinematic Models – Representation of Robot – Forward Kinematics – Wheel and Robot Constraints – Degree of Mobility and Steerability – Manoeuvrability – Workspace – Degrees of Freedom – Path and Trajectory Considerations – Motion Controls – Holonomic Robots – Open Loop and Feedback Motion Control – Humanoid Robot – Kinematics Overview.
Unit III
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Unit IV
LOCALIZATION 12
The Challenge of Localization – Sensor Noise and Aliasing – Effector Noise – Localization Based Navigation Versus Programmed Solutions – Belief Representation – Single – Hypothesis Belief And Multiple-Hypothesis Belief – Map Representation – Continuous Representations – Decomposition Strategies – Current Challenges In Map Representation – Probabilistic Map-Based Localization -Markov Localization – Kalman Filter Localization – Landmark-Based Navigation – Globally Unique Localization – Positioning Beacon Systems – Route-Based Localization – Autonomous Map Building – Stochastic Map Technique – Other Mapping Techniques. Simultaneous Localization and Mapping (SLAM).
Unit V
PLANNING, NAVIGATION AND COLLABORATIVE ROBOTS 9
Introduction – Competences for Navigation: Planning and Reacting – Path Planning – Obstacle Avoidance – Navigation Architectures – Modularity for Code Reuse and Sharing – Control Localization – Techniques for Decomposition – Case Studies – Collaborative Robots – Swarm Robots.
Course Outcomes:
Upon completion of this course, the students will be able to:
- Evaluate the appropriate mobile robots for the desired application.
- Analyze the sensors for the intelligence of mobile robotics
- Evaluate the kinematics for given wheeled and legged robot.
- Create the localization strategies and mapping technique for mobile robot.
- Create the collaborative mobile robotics for planning, navigation and intelligence fordesired applications.
Text Books:
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Reference Books:
- Dragomir N. Nenchev, Atsushi Konno, TeppeiTsujita, “Humanoid Robots: Modelling and Control”, Butterworth-Heinemann, 2018
- MohantaJagadish Chandra, “Introduction to Mobile Robots Navigation”, LAP Lambert Academic Publishing, 2015.
- Peter Corke, “Robotics, Vision and Control”, Springer, 2017.
- Ulrich Nehmzow, “Mobile Robotics: A Practical Introduction”, Springer, 2003.
- Xiao Qi Chen, Y.Q. Chen and J.G. Chase, “Mobile Robots – State of the Art in Land, Sea, Air, and Collaborative Missions”, Intec Press, 2009.
- Alonzo Kelly, Mobile Robotics: Mathematics, Models, and Methods, Cambridge University Press, 2013, ISBN: 978-1107031159.
For detailed syllabus of all other subjects of Robotics & Automation Engineering, 2021 regulation curriculum do visit Robotics 7th Sem subject syllabuses for 2021 regulation.
For all Robotics & Automation Engineering results, visit Anna University Robotics all semester results direct link.