Professional Courses
Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.
Categories
Interactive Games
Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.
Typing
Memory
Math
English Adventures
Knowledge
Integrating Artificial Intelligence (AI) with robotics enhances the capability and functionality of robotic systems, transitioning from classical programming methods to learning-based paradigms. The chapter discusses various machine learning techniques, reinforcement learning applications, and the challenges faced in robotics due to uncertainty and environmental dynamics. It also explores cognitive robotics and human-robot interaction, providing a comprehensive understanding of AI's role in advancing robotic autonomy and collaboration.
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.
Sections
References
Untitled document (23).pdfClass Notes
Memorization
What we have learnt
- AI enhances robots with lea...
- Machine learning allows rob...
- Reinforcement learning help...
Final Test
Revision Tests
What we have learnt
- AI enhances robots with learning, adaptability, and autonomy.
- Machine learning allows robots to improve from data without explicit programming.
- Reinforcement learning helps in optimizing robot behavior through environmental interactions.
- Cognitive robotics aims to integrate human-like reasoning into robots.
- Robots often operate under uncertainty requiring advanced planning frameworks such as POMDP.
Key Concepts
-
Term: Machine Learning (ML)
Definition: A technique that empowers robots to learn from data and improve actions without explicit programming.
-
Term: Reinforcement Learning (RL)
Definition: An area of machine learning where agents learn optimal behaviors through rewards based on interactions with their environment.
-
Term: POMDP (Partially Observable Markov Decision Process)
Definition: A framework used to plan actions under uncertainty where a robot maintains a belief state—probability distributions over possible states.
-
Term: Cognitive Robotics
Definition: A field focused on embedding human-like reasoning and learning into robotic systems.
-
Term: BehaviorBased System
Definition: A robotic architecture where behaviors are layered hierarchically and operate concurrently, enhancing reactivity.