5.4 Natural human-robot interaction design
Topic: Natural Human-Robot Interaction Design
📘 Chapter: Natural Human-Robot Interaction Design
🔹 Introduction
Natural Human-Robot Interaction (HRI) ka matlab hai ki humanoid robots humans ke saath safely, efficiently, aur intuitively interact kar saken. Isme speech, gestures, touch, aur facial cues samajhna shamil hai.
Yeh chapter guide karega kaise HRI ko design karte hain humanoid robots ke liye, specially using sensors, AI, aur intuitive interfaces.
🧠 1. What is Natural HRI?
- Human-robot interaction that feels natural & safe
- Uses speech recognition, gesture interpretation, facial cues
- Robots understand intentions and context
Example:
- Robot responds to verbal commands
- Robot recognizes human gestures for assistance
- Robot adjusts proximity based on human comfort
🤖 2. Key Components of HRI
- Perception: Camera, microphone, touch sensors
- Interpretation: AI/ML models analyze human inputs
- Decision Making: Robot plans appropriate response
- Action Execution: Movement, speech, display
- Feedback Loop: Robot adapts to human response
🌀 3. HRI Workflow Diagram
+----------------------------+
| Human Interaction |
| - Speech |
| - Gesture |
| - Facial Expression |
+-------------+--------------+
|
v
+----------------------------+
| Robot Perception Module |
| - Cameras |
| - Microphones |
| - Touch Sensors |
+-------------+--------------+
|
v
+----------------------------+
| AI Interpretation Module |
| - NLP (Speech understanding)|
| - Gesture Recognition |
| - Emotion Detection |
+-------------+--------------+
|
v
+----------------------------+
| Decision & Planning Module |
| - Determine appropriate |
| response/action |
+-------------+--------------+
|
v
+----------------------------+
| Robot Action Module |
| - Speech Output |
| - Movement |
| - Display |
+----------------------------+
|
v
+----------------------------+
| Feedback Loop |
| - Adapt to human response |
+----------------------------+
🧩 4. Sensors and Tools for HRI
- Cameras: Human posture, gestures, facial expressions
- Microphones: Speech recognition
- Touch Sensors: Physical interaction
- Proximity Sensors: Safety and distance management
- AI Models: NLP, emotion detection, gesture recognition
🎮 5. Example: Simple Gesture Recognition (Python Pseudo-Code)
from hripy import GestureRecognizer
camera = Camera()
recognizer = GestureRecognizer()
while True:
frame = camera.capture()
gesture = recognizer.detect(frame)
if gesture == 'wave':
robot.say("Hello!")
elif gesture == 'stop':
robot.stop_motion()
🏭 6. Real-World Applications
- Assistive robots in hospitals
- Customer service robots in malls/airports
- Collaborative robots in factories
- Home companion robots
- Elderly care robots
📝 7. Self Assignment
Assignment Tasks:
- Create a humanoid robot model in Isaac Sim/Unity.
- Add camera and microphone sensors.
- Implement a basic gesture recognition (wave & stop).
- Robot responds with speech or movement based on gesture.
- Test and adjust robot behavior based on human feedback.
❓ 8. MCQs (Multiple Choice Questions)
Q1. Natural HRI ka main goal kya hai?
A. Robots humans se compete kare B. Robots humans ke saath safely aur intuitively interact kare C. Robots sirf tasks complete kare D. Robots humans ko replace kare
✔ Correct Answer: B
Q2. HRI mein kaunse sensors commonly use hote hain?
A. Cameras, Microphones, Touch Sensors
B. Thermometers, Barometers
C. GPS only
D. None of the above
✔ Correct Answer: A
Q3. AI Interpretation Module kya karta hai?
A. Robots ko recharge karta hai
B. Human inputs (speech, gestures, emotion) ko analyze karta hai
C. Camera install karta hai
D. Robot clean karta hai
✔ Correct Answer: B
Q4. Feedback Loop ka role kya hai?
A. Robot behavior ko human response ke hisaab se adapt karna
B. Robot ko paint karna
C. Robot ka speed increase karna
D. Robot ko off karna
✔ Correct Answer: A
Q5. Example of a humanoid robot HRI application?
A. Industrial robot only
B. Assistive hospital robot
C. Washing machine
D. Air conditioner
✔ Correct Answer: B
Agar chaho to main Weeks 11–12: Humanoid Robot Development ke next topics, jaise Bipedal locomotion & balance control aur Manipulation & grasping, bhi isi style mein Markdown + workflow + MCQs bana doon.