Robotic Process Automation (RPA) Courses Online

About

Robotic Process Automation is a form of business process automation technology. Also known as RPA.

Course Content:

1. The Future of Robots
2. Programming Concepts
3. Robot Control
4. Robot Hardware
5. Mathematics of Robot Control
6. Robot Programming
7. Obstacle Avoidance
8. Task Planning and Navigation
9. Robot Vision
10. Knowledge-Based Vision Systems
11. Robots and Artificial Intelligence Robots will soon be everywhere, in our home and at work. They will change the way we live. 

About

Robotic Process Automation is a form of business process automation technology. Also known as RPA.

Content

• How do RPA works?
• Advantage and disadvantage of RPA
• UiPath platform and the software
• Creating simple software robot
• Planning and implementing RPA
• Scoping of roles and responsibilities needed in an RPA
• Factors to consider for a successful RPA project

Course Content

• Introduction
• Requirements
• How to use
• Localization
  • Extended Kalman Filter localization
  • Particle filter localization
  • Histogram filter localization
• Mapping
  • Gaussian grid map
  • Ray casting grid map
  • Lidar to grid map
  • k-means object clustering
  • Rectangle fitting
• SLAM
  • Iterative Closest Point (ICP) Matching
  • FastSLAM 1.0
• Path Planning
  • Dynamic Window Approach
  • Grid based search
    • Dijkstra algorithm
    • A* algorithm
    • Potential Field algorithm
    • Grid based coverage path planning
  • State Lattice Planning
    • Biased polar sampling
    • Lane sampling
  • Probabilistic Road-Map (PRM) planning
  • Rapidly-Exploring Random Trees (RRT)
    • RRT*
    • RRT* with reeds-shepp path
    • LQR-RRT*
  • Quintic polynomials planning
  • Reeds Shepp planning
  • LQR based path planning
  • Optimal Trajectory in a Frenet Frame
• Path Tracking
  • move to a pose control
  • Stanley control
  • Rear wheel feedback control
  • Linearquadratic regulator (LQR) speed and steering control
  • Model predictive speed and steering control
  • Nonlinear Model predictive control with C-GMRES
• Arm Navigation
  • N joint arm to point control
  • Arm navigation with obstacle avoidance
• Aerial Navigation
  • drone 3d trajectory following
  • rocket powered landing
• Bipedal
  • bipedal planner with inverted pendulum

This course explains some robotics concepts which refers to an example: NXT Lego Mindstorms kit. The great success of robots so far has been in automating repetitive tasks in process control and assembly, yielding dramatic cuts in production, but the next step towards cognition and more human-like behavior has proved elusive. It has been difficult to make robots that can truly learn and adapt to unexpected situations in the way humans can, while it has been equally challenging trying to develop a machine capable of moving smoothly like any animal. There is still no robot capable of walking properly without jerky slightly unbalanced movements.

Today's robot designers will have to solve some fundamental problems before robots can become as versatile, independent, and useful as the ones we've seen for years in the movies. The future of robotics is split into four main categories: This kind of robot allows people to hold remote-controlled videoconferences from far distances, rather than traveling great distances in order to have face-to-face meetings. On the other hand, telepresence is another way of letting the users perceive no difference from the actual presence. This ability to be able to manipulate a remote object or environment is an important aspect of real telepresence systems. In remote-controlled telepresence, the movements of the user's hands are sensed by wired gloves and inertial sensors, and then a robot in a remote location copies those movements.

Content

• The Future of Robots
  • Telepresence
  • Rescue and lifting
  • Navigation
  • Humanoid robots
• Programming Concepts
• Robot Hardware example
• Robot Control
• Mathematics of Robot Control
• Robot Programming Languages
• Obstacle Avoidance
• Task Planning and Navigation
• Robot Vision
• Knowledge-Based Vision Systems
• Robots and Artificial Intelligence