Differential-drive Robot Navigation in Crowded Environments
Key Points
The adaptation improves safety in robot navigation under kinematic constraints.
Using AVOCADO, it reduces tracking error effectively in crowded environments.
Non-holonomic robots navigate better by integrating feasible velocities into motion planning.
This approach can serve as a valuable framework for future robotics research.
Abstract
The paper adapts AVOCADO for non-holonomic robots by bounding tracking error and integrating feasible velocities, ensuring safe motion under kinematic constraints.
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Differential-drive Robot Navigation in Crowded Environments | Synapse