Robohub.org
 

Drive kinematics: Skid steer and mecanum (ROS twist included)


by
19 July 2016



share this:
Photo: Wikipedia

Photo: Wikipedia

I am often in need of the basic kinematic motion equations for skid steer vehicles. I have also recently been working with mecanum wheeled vehicles. The skid steer equations are fairly simple and easy to find, however, I will include it in different versions and include a ROS approach. The mecanum wheel equations are harder to find and there are different versions floating around. The first version I found had a lot of trig and mostly worked. The version I present here is easier to intuitively understand and seems to work better (I don’t need a random scale factor for this version), I also include a ROS approach for them.

Skid Steer / Differential Drive

Here is some math for 2 and 4 wheel differential drive vehicles, 2 wheels and a castor, or skid steer tracked vehicles.

Arc based commands

The basic skid steer equations are:

velocity_right = w(RADIUS_OF_ARC_TO_DRIVE + WHEEL_BASE/2)
velocity_left = w(RADIUS_OF_ARC_TO_DRIVE – WHEEL_BASE/2)

Where w is the angular rotation, RADIUS_OF_ARC_TO_DRIVE is the arc radius that the robot should drive, and the WHEEL_BASE is the distance from the center of the left wheel to the center of the right wheel (See image above).

This can also be written as:

w = (velocity_right-velocity_left)/WHEEL_BASE

There are two special cases:

IF velocity_right == velocity_left :
THEN the radius of the arc is infinite so the robot will drive straight.

IF velocity_right == -velocity_left :
THEN the radius of the arc is 0, and the robot rotates in place (ie. point turn)

Linear & Angular Velocity Commands for ROS

In ROS if using the Twist topic (which is the default for drive messages) (message name is often cmd_vel) you will often set linear_velocity in the linear.x field and angular_velocity in the angular.zfield.

velocity_left_cmd = (linear_velocity – angular_velocity * WHEEL_BASE / 2.0)/WHEEL_RADIUS;

velocity_right_cmd = (linear_velocity + angular_velocity * WHEEL_BASE / 2.0)/WHEEL_RADIUS;

Mecanum Wheel Math

 

Mecanum wheels from Andymark

Mecanum wheels from Andymark

In ROS if using the Twist message you will often set the linear.x, linear.y and angular.z fields. One unrelated note is that if you are operating on uneven terrain then doing mecanum type motions will fail and have a lot of slip. Skid steer type motions will often work better (using the mecanum wheels).

WHEEL_SEPARATION_WIDTH = DISTANCE_LEFT_TO_RIGHT_WHEEL / 2

WHEEL_SEPARATION_LENGTH = DISTANCE_FRONT_TO_REAR_WHEEL / 2

Forward kinematics

Wheel commands units are in rad/s

wheel_front_left = (1/WHEEL_RADIUS) * (linear.x – linear.y – (WHEEL_SEPARATION_WIDTH + WHEEL_SEPARATION_LENGTH)*angular.z);

wheel_front_right = (1/WHEEL_RADIUS) * (linear.x + linear.y + (WHEEL_SEPARATION_WIDTH + WHEEL_SEPARATION_LENGTH)*angular.z);

wheel_rear_left = (1/WHEEL_RADIUS) * (linear.x + linear.y – (WHEEL_SEPARATION_WIDTH + WHEEL_SEPARATION_LENGTH)*angular.z);

wheel_rear_right = (1/WHEEL_RADIUS) * (linear.x – linear.y + (WHEEL_SEPARATION_WIDTH + WHEEL_SEPARATION_LENGTH)*angular.z);

To drive a robot you will probably need to also invert one side since the motors are mounted opposite the other side. For example:

wheel_front_right = -1 * wheel_front_right

wheel_rear_right = -1 * wheel_rear_right

Also this gives an output in rad/s. If your motor controller is operating with encoder counts as the unit you will need to convert the units.

Inverse Kinematics

linear.x = (wheel_front_left + wheel_front_right + wheel_rear_left + wheel_rear_right) * (WHEEL_RADIUS/4)

linear.y = ( -wheel_front_left + wheel_front_right + wheel_rear_left – wheel_rear_right) * (WHEEL_RADIUS/4)

angular.z = ( -wheel_front_left + wheel_front_right – wheel_rear_left + wheel_rear_right) * (WHEEL_RADIUS/(4 * (WHEEL_SEPARATION_WIDTH + WHEEL_SEPARATION_LENGTH)))

Source for mecanum wheel math: here. There are other versions of how to compute the wheel velocities but this is the one I like best.

If you have any pressing questions, visit the Robots for Roboticists Forum.


The post “Drive Kinematics: Skid Steer & Mecanum (ROS Twist included)” appeared on Robots For Roboticists.



tags:


Robots for Roboticists David Kohanbash is a Robotics Engineer in Pittsburgh, PA in the United States. He loves building, playing and working with Robots.
Robots for Roboticists David Kohanbash is a Robotics Engineer in Pittsburgh, PA in the United States. He loves building, playing and working with Robots.





Related posts :



Robot Talk Episode 120 – Evolving robots to explore other planets, with Emma Hart

  09 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Emma Hart from Edinburgh Napier University about algorithms that 'evolve' better robot designs and control systems.

Robot Talk Episode 119 – Robotics for small manufacturers, with Will Kinghorn

  02 May 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Will Kinghorn from Made Smarter about how to increase adoption of new tech by small manufacturers.

Multi-agent path finding in continuous environments

  01 May 2025
How can a group of agents minimise their journey length whilst avoiding collisions?

Interview with Yuki Mitsufuji: Improving AI image generation

  29 Apr 2025
Find out about two pieces of research tackling different aspects of image generation.

Robot Talk Episode 118 – Soft robotics and electronic skin, with Miranda Lowther

  25 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Miranda Lowther from the University of Bristol about soft, sensitive electronic skin for prosthetic limbs.

Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Robot Talk Episode 117 – Robots in orbit, with Jeremy Hadall

  11 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Jeremy Hadall from the Satellite Applications Catapult about robotic systems for in-orbit servicing, assembly, and manufacturing.

Robot Talk Episode 116 – Evolved behaviour for robot teams, with Tanja Kaiser

  04 Apr 2025
In the latest episode of the Robot Talk podcast, Claire chatted to Tanja Katharina Kaiser from the University of Technology Nuremberg about how applying evolutionary principles can help robot teams make better decisions.



 

Robohub is supported by:




Would you like to learn how to tell impactful stories about your robot or AI system?


scicomm
training the next generation of science communicators in robotics & AI


©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence