Abstract:

Robotics is a diverse field bringing together disparate areas from computer science, electrical engineering and mechanical engineering. Learning about robotics will become an increasingly essential skill as it becomes a major part of our life. The academic instruction has to be not only integrative, but must be rigorous enough. Various modules of this educational program are set up in such a way, that it brings together theories from a number of fields: mechanics, control, programming, vision and machine learning applied to the design and application of intelligent robot. Even though robotics is a complex subject, several emerging computer techniques with modern tools can help one design projects to create an easy-to-use interface .It includes planar and spatial kinematics, differential motion, energy method for robot mechanics; computer vision and human interface. The Robotics course discussed here provides is an integrative but rigorous treatment of all the relevant concepts, with an eye toward modern, practical applications making it an excellent choice for many courses. The course is organized in such a way that it provides simple, straight forward approach to the design and prototyping of drones and autonomous systems. The students undertaking this program will be able to:
• Perform analysis of robot motion, static and dynamic analysis of manipulator
• Learn various robotics concepts and build an advanced robot from scratch.
• Design, prototyping and commercial adaptation of Drones and unmanned systems.

The curriculum approach includes:
- Cyber Physical Systems including theory, modeling and implementation, Simulation and Modeling techniques applied to Robotics, Block diagram methodology.
- Introduction to Robotics and Autonomous Systems. Mathematical Analysis of Robotics, Robot Motion Analysis, how to derive kinematic control equations of robot manipulators. Denavit-Hartenberg Representation, Robot arm statics and dynamics and its impact on design.
- Robot dynamics, Control of Robot Manipulators with a comparison of different techniques.
- Optimal planning of manipulator trajectories, Theory behind wheeled robots.
- Robot sensing, compliance, stiffness, force and other sensory feedback. Discussion of various steps necessary to design a vision system. Machine learning algorithms.
- Robotic grasping, manipulation and robot end effectors; Robot implementation and industrial, manufacturing applications including Robotic Cell design , Automated Guided Vehicle Systems.
- Bio-inspired design, with emphasis on principle extraction applicable to various robotics research fields, such as robotics, prosthetics, and human assistive technologies.
- Design, simulate, build and program an interactive autonomous mobile robot, Unmanned Aerial Systems.
- Case studies include unmanned aircraft systems, miniaturized hybrid projectiles, unmanned surface vehicles modeling, vision guided navigation. Miniature air vehicles, Small unmanned aircraft, hybrid projectiles,
1. Unmanned Aerial Systems,
3. Unmanned marine vessel.
4. Unmanned Vertical profiler.
5. Unmanned Ground Vehicle.

This program offers a well-balanced and intellectually satisfying treatment of robot mechanics, and control from planning to the choice and sequence of topics, to the level of detail in the analysis, and the clear connections made between the latest technologies and the theoretical foundations of robotics.

Keywords:

Robotics Engineering Education, Unmanned aerial, Land based and sea based systems, Drones, Case Studies.