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The local path planning problem is a crucial aspect of motion planning in robotics and autonomous vehicles. One commonly used method for local path planning is the dynamic window approach, which is based on the concept of considering the robot's kinematic constraints and environment obstacles to generate a feasible path. The dynamic window approach is an effective and widely-used algorithm that is capable of generating safe and smooth trajectories for robot navigation in real-time. It is particularly useful in situations where there are multiple obstacles that the robot must avoid while moving towards a goal. In summary, the dynamic window approach is an important and beneficial tool for local path planning in robotics and autonomous vehicles.