Learn how to build intelligent robotic systems by combining mechanical engineering with artificial intelligence concepts.
Integrate computer vision and sensor data processing for real-time object detection and spatial awareness.
Use AI algorithms for path planning, task prioritization, and autonomous navigation solutions.
Implement motor control systems and real-time response to environmental inputs.
Teach robots to navigate complex environments using SLAM algorithms and reinforcement learning techniques.
# Sample Python code
import numpy as np
from sensor import LIDAR
sensor = LIDAR()
while True:
data = sensor.read_environment()
print(f"Obstacles detected: {np.count_nonzero(data > 0)}")
Develop robotic arms that recognize and pick objects using computer vision and torque-based control systems.
Combine robotics engineering with modern AI techniques to create smart systems that learn, perceive, and adapt.