Practice - Path Planning
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does Configuration Space (C-space) refer to?
💡 Hint: Think about where a robot can be in its environment.
Name one algorithm used for path planning.
💡 Hint: Recall the methods we discussed in class.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does path planning involve?
💡 Hint: Think about the robot's journey from start to finish.
True or False: Graph-based methods only deal with static environments.
💡 Hint: Consider the flexibility of these methods.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Create a comprehensive plan for a robot traversing a park with pedestrians and obstacles. Describe your choice of algorithm.
💡 Hint: Consider complex paths and random decisions in your strategy.
Analyze how Dijkstra’s algorithm can be optimized for a real-time navigation system in a busy street.
💡 Hint: Think about how the algorithm can adapt its calculation based on changing environments.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.