What is Nonholonomic Constraint Navigation for Mobile Robots?

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In summary, the paper presents a collision-free path planner for mobile robot navigation in unknown environments using only distance information between the robot and obstacles. The planner utilizes a new representation of obstacles in the velocity space and is composed of two modules: "reaching the goal" and "boundary following." The method has a short calculation time and stable velocity behavior, as demonstrated in the results.
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enigma
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Does anyone know what this term means?

dictionary.com comes up blank

Abstract:
This paper presents a collision-free path planner for mobile robot navigation in an unknown environment subject to nonholonomic constraints. This planner is well adapted for use with embarked sensors because it uses only the distance information between the robot and the obstacles. The collision-free path planning is based on a new representation of the obstacles in the velocity space. The obstacles in the influence zone are mapped as linear constraints into the velocity space of the robot, forming a convex subset that represents the velocities that the robot can use without collision with the objects. The planner is composed by two modules, termed "reaching the goal" and "boundary following". The major advantages of this method are the very short calculation time and a continuous stable behavior of the velocities. The results presented demonstrate the capabilities of the proposed method for solving the collision-free path-planning problem.
 
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Nevermind,

Found it:

http://www.nd.edu/NDInfo/Research/sskaar/Comparison.html
 
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Nonholonomic refers to a type of constraint in motion planning, where the movement of a system is limited by the kinematic constraints of the system. This means that the system cannot move in any direction or at any speed, but is restricted by its own physical limitations. In the context of mobile robot navigation, nonholonomic constraints refer to the restrictions placed on the robot's movement due to its physical structure and design. This can include limitations on the robot's turning radius, maximum speed, and other factors. The collision-free path planner described in the paper takes into account these nonholonomic constraints in order to efficiently and safely navigate through an unknown environment.
 

1. What is the definition of Nonholonomic?

Nonholonomic refers to a system or motion that is subject to constraints, where the constraints cannot be integrated into the system's equations of motion. This means that the system cannot move in any direction or manner due to the constraints, resulting in a nonholonomic motion.

2. How is Nonholonomic different from Holonomic?

The main difference between Nonholonomic and Holonomic systems is that Holonomic systems can move in any direction and manner, while Nonholonomic systems are constrained and have limited motion. In other words, Holonomic systems are not subject to constraints, while Nonholonomic systems are.

3. What are some examples of Nonholonomic systems?

Some examples of Nonholonomic systems include a rolling wheel, a pendulum, and a car with a trailer. In all of these systems, the motion is constrained and cannot move in any direction or manner due to the constraints.

4. How is Nonholonomic used in robotics and control systems?

Nonholonomic systems are commonly used in robotics and control systems to model and control the motion of robots or vehicles. By understanding the constraints of the system, engineers can design control algorithms to effectively control the motion of the system.

5. Are there any advantages to using Nonholonomic systems?

One advantage of using Nonholonomic systems is that they can be simpler to model and control compared to Holonomic systems. This is because the constraints reduce the number of variables and degrees of freedom in the system, making it easier to analyze and control. Nonholonomic systems are also commonly used in real-world applications such as robotics and vehicles, making them practical and useful in various industries.

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