Robotics and AI: Overview of Intelligent Robotic Systems — Beginner-Friendly Notes
1. What an Intelligent Robot Is
Robot = sense → think → act machine that interacts physically: sensors (camera, lidar, touch), AI brain (perception, planning, learning), actuators (motors, grippers). An intelligent robot uses AI, not just pre-programmed motions.
2. Architecture (sense-think-act loop + AI modules)
Sensors → Perception (CV, NLP, localisation) → World Model → Planning (task/motion, Module 2) → Control → Actuators
↑_________________________________________ Feedback ________________________________________↓
AI modules inside:
- Perception: CV for objects, SLAM for mapping/localisation, sensor fusion (Bayes).
- Planning: task planning (what to do), motion planning (how to move without collision — search + optimisation).
- Learning: RL for walking/grasping, ML for adapting.
- HRI: natural language / gesture for human-robot interaction.
3. Types of Robots (exam examples)
| Type | AI Challenge | Example |
|---|---|---|
| Industrial arm | precision, repetitive planning | assembly, welding, bin picking |
| Mobile robot / AGV | navigation, SLAM, obstacle avoidance | warehouse (Amazon), delivery bots |
| Humanoid / Service | balance, HRI, dexterous manipulation | hospital assistance, ISRO Vyommitra |
| Field robots | unstructured outdoor | agriculture weeding, mining, underwater |
| Swarm | multi-agent coordination | drone light shows, search |
4. Classical vs AI Robotics
| Classical (programmed) | AI-powered |
|---|---|
| Fixed trajectory, known environment | Adapts to uncertain, dynamic, partially observable (Module 1) |
| Needs structured factory | Works in unstructured homes/fields |
| No learning | Learns from experience |
5. Challenges (why robotics is hard — ties to whole syllabus)
- Perception uncertainty (Module 4), search (Module 2), knowledge (Module 3), learning (Module 5), ethics/safety (next topics).
6. One-Line Summary
Intelligent robotic systems integrate sensing, AI-based perception and planning, and actuation in a loop, spanning industrial to field robots and relying on perception, planning and learning to operate in uncertain, dynamic worlds.
7. Quick Self-Check
- Trace sense-think-act for a delivery robot avoiding a pedestrian.
- Why is field agriculture harder than factory arm?