It takes the average reader and 58 minutes to read Perception, Planning, and Control for Mobile Robotics Systems by Samuel Kirkpatrick
Assuming a reading speed of 250 words per minute. Learn more
The paper covers three separate contributions to the field of mobile robotics. Mobile robotics relies on a tight loop of perception, planning, and control. Perception is how the robot is aware of its dynamic environment. The robot then generates a plan based on the data it has gathered from its perceptors (sensors). Finally the robot acts on its plan through the use of control. Control is extremely critical in robotics. A very common example of control in robotics is controlling the robots linear velocity and angular velocity. Tuning controllers is not an easy task and usually requires very skilled control systems technicians and engineers. This is time consuming and costly. A new self-tuning PID based motor controller is presented and tested. The new controller is able to tune itself without any input from an operator. The results were extremely encouraging and the controller was able to very accurately control the speed of the robot's drive wheels. When a robot forms a plan this often involves changing its course. Converging onto a new path or line is a very common application of planning. Knowing that you'll be onto your new path by a certain point is incredibly useful for avoiding obstacles. In this paper a new line following motion planner is presented that guarantees convergence onto the new path by a certain specified distance. The algorithm presented iteratively adjusts the rate of convergence based on how close to the goal the robot is. It was simulated and proved to be 100% effective. Robots use many different sensors to be aware of their environment. One common perception technology is LIDAR (Light Detection and Ranging). The most useful LIDARs provide real-time three dimensional data. Present 3-D LIDARs are heavy, large, and expensive. This paper covers the design and testing of a new compact, light-weight, and relatively inexpensive 3-D LIDAR system. The result was an effective 3-D LIDAR system for use in small scale robotics where previously 3-D LIDAR was not possible.
Perception, Planning, and Control for Mobile Robotics Systems by Samuel Kirkpatrick is 57 pages long, and a total of 14,649 words.
This makes it 19% the length of the average book. It also has 18% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 1 hour and 20 minutes to read Perception, Planning, and Control for Mobile Robotics Systems aloud.
Perception, Planning, and Control for Mobile Robotics Systems is suitable for students ages 8 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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