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Autonomous Mobile Robotics - Timed Elastic Band

By University of Tartu

Type of course:

Digital learning, Path

Language:

EN

Duration:

1 hour

Workload:

6 hours

Proficiency:

Advanced

Target:

Professionals, Students

This Learning Path explains the Timed-Elastic-Band approach (TEB) that is a local trajectory planning algorithm for mobile robotics. A local trajectory planning algorithm is in charge of following a rough path planned by a global planner to drive a mobile robot to a given target, while modifying the path to respect the robot’s kinematic and dynamic constraints and avoiding dynamic obstacles. In particular, the studied implementation is a local planner plug-in for the mobile navigation framework called Navigation Stack for a more general robotics framework, Robot Operating System (ROS or ROS2 for the second version of the framework).


Learning outcomes

  1. The learner can embed the Timed Elastic Band planner in Navigation stack for robotic systems
  2. The learner can summarize the necessary libraries and files needed to run the TEB planner with ROS
  3. The learner can configure the basic parameters first using test_optim_node and then in simulated robot and world environment through rviz and rqt plugin
LessonAssessment on Timed Elastic Band

Course Content

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Topics

Automation and Robotics, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS)

Provided by

Content created in 2023
+223 enrolled
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Course Includes

  • 3 Quizzes
  • 1 Certificate of achievement

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