Industry; Geometric Information Systems application; Arts and Architecture; Medical and Bioengineering Applications. Text Books: 1. Chua C.K., Leong K.F., and Lim C.S., “Rapid prototyping: Principles and applications”, 2nd edition, , World Scientific Publishers, 2003. 2. Andreas Gephardt “Rapid prototyping”, Hanser Gardener Publications, 2003. References Books: 1. Liou W.Liou, Frank W.Liou, “Rapid Prototyping and Engineering applications: A tool box for prototype development”, CRC Press, 2007. 2. Ali K. Kamrani, Emad Abouel Nasr, “Rapid Prototyping: Theory and practice”, Springer, 2006. 3. Peter D.Hilton, Hilton/Jacobs, Paul F.Jacobs, “Rapid Tooling: Technologies and Industrial Applications”, CRC press, 2000. 19ME3002
ROBOTICS AND AUTOMATION IN MANUFACTURING
L T P C 3 0 0 3
Course Objectives: 1. To impart knowledge on the fundamentals in basic sciences, mathematics and computational platforms for the field robotics and automation applications. 2. To understand mechanism of robotic control and its motion mechanisms 3. To explore the Artificial Intelligence and Allied techniques for Robotic applications. Course Outcome: Students will be able to 1. Understand the Motion Control Robot 2. Apply the robot kinematics and inversion Mechanism 3. Analyze path movements of various robots for the variety of applications 4. Diagnose the movement of humanoid robots 5. Solve the risk in artificial intelligence for robotic applications 6. Impart knowledge in networking using sensors for robotic applications Module 1 – Introduction to Robotic System (8 hrs) Introduction. Construction of manipulators, advantages and disadvantages of various kinematic structures. Applications, Non servo robots, motion planning. Feedback systems, encoders Kinematics, homogeneous coordinates solution of the inverse kinematic problem, multiple solutions, Jacobian, work envelopes. Trajectory planning. Joint Interpolated Trajectory, Link joints and their Manipulator dynamics and force control. Module 2 – Sensors for Robotic and Automation Application (8 hrs) Sensors: Vision, ranging, laser, acoustic, tactile. Developments in sensor technology, sensory control. Programming Language: VAL, RAIL, AML. Mobile robots, walking devices. Robot reasoning. Module 3 – Robot Programming (8 hrs) Level of robot programming, Language based programming, task level programming, Robot programming synthesis, robot programming for foundry, press work and heat treatment, welding, machine tools, material handling, warehousing assembly, etc., automatic storage and retrieval system, Robot economics and safety, Robot integration with CAD/CAM/CIM, Collision free motion planning Module 4 – Industrial Robotics and Material Handling Systems (7 hrs) Robotic vision systems, image representation, object recognition and categorization, depth measurement, image data compression, visual inspection, software considerations. advanced material handling systems, automated guided vehicle systems, automated storage and retrieval systems(ASRS), bar code technology, radio frequency identification technology. Module 5 – Wireless Networks for Robotics (7 hrs) Challenges for Wireless Sensor Networks, Enabling Technologies For Wireless Sensor Networks. Wakeup Radio Concepts, Address and Name Management, Assignment of MAC Addresses, Routing Protocols- Energy-Efficient Routing, Geographic Routing. Topology Control, Clustering, Sensor Node Hardware – Berkeley Motes, State-centric programming. MECHANICAL ENGINEERING (2020)
