Machine Learning for Robotics
Artificial Intelligence · Further Education · Robotics and Autonomous Systems
This unit explores the fundamentals of machine learning as applied to robotics, covering supervised, unsupervised, and reinforcement learning techniques. Students will gain an understanding of how machine learning algorithms can enhance robot perception, decision-making, and control.
Zum Üben gibt es 57 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Supervised Learning Algorithms (e.g.
- linear regression
- decision trees
- support vector machines)
- Unsupervised Learning Algorithms (e.g.
- clustering
- dimensionality reduction
- anomaly detection)
- Reinforcement Learning Algorithms (e.g.
- Q-learning
- SARSA
- actor-critic methods)
Stichworte
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Robot Perception
- Robot Control
- Machine Learning Algorithms
- Robotics Applications
- Ethics of Machine Learning in Robotics