4. MICROPROCESSOR
CIRCUITS
• Microprocessor circuits
typically include a CPU, which
is responsible for executing
the robot's control algorithms
and decision-making
processes. The choice of CPU
can vary from
microcontrollers (e.g.,
Arduino, ESP32) for simpler
robots to more powerful
processors (e.g., Raspberry Pi,
NVIDIA Jetson) for complex
tasks such as computer vision
and machine learning.
5. • Arduinos can serve as the
central processing unit (CPU)
in a robot, handling control
and decision-making tasks.
You can program the
Arduino to read sensor data,
make decisions based on
that data, and control the
robot's actuators and
motors accordingly.
COMMONLY USED
MICROPROCESSOR
6. • Raspberry Pi is a credit-card-sized single-board computer popular
for its affordability and versatility. It runs a Linux-based operating
system, offering considerable processing power for various
applications, from DIY projects and educational tools to IoT devices
and small-scale servers.
7. NVIDIA Jetson is a series of embedded computing platforms designed for AI
and robotics applications, featuring powerful GPUs and specialized
hardware for accelerated deep learning.
8. MOTOR DRIVER
CIRCUITS
• These circuits control the
movement of the robot's
motors, converting low-
power control signals
into high-power outputs
to drive wheels,
actuators, or other
motion components.
9. SENSER
INTERFERENCE CIRCUITS
• Sensor interference circuits in robotics are
designed to reduce electromagnetic or
radiofrequency interference from other
electronic components, preventing signal noise
and maintaining the accuracy of sensor data.
• These circuits typically incorporate filters,
shielding, and proper grounding techniques to
mitigate interference, ensuring sensors provide
reliable input for decision-making and control in
robotic systems.
10. CONTROL
AND NAVIGATION
CIRCUITS
• Control and navigation circuits in
robotics are responsible for
processing sensor data, executing
control algorithms, and guiding the
robot's movements. They ensure
precise, efficient, and often
autonomous operation by
managing motor control, path
planning, obstacle avoidance, and
feedback control, enabling the
robot to navigate and complete
tasks effectively.
•
11. CONCLUSION
Electronic circuits are the backbone of
robotics, enabling sensor integration,
decision-making, motor control, and
communication, essential for creating
versatile and functional robotic systems.
