C h a p t e r 2 | A u t o n o my T h r o u g h Pe r c e p t i o n a n d E n v i r o n m e n t a l A w a r e n e s s
effective indoors, radar excels in outdoor settings
where environmental factors like lighting conditions
vary widely.
• IMUs help robots track their position and orientation,
maintain balance, manage acceleration, and detect
any movement requiring corrective action.
While powerful individually, these sensors become
significantly more effective when combined. Sensor
fusion platforms integrate data from multiple
sensors, providing a cohesive and comprehensive
view of the robot's surroundings. By synthesizing
LiDAR, camera, radar, and IMU data, sensor fusion
enhances the robot's ability to make nuanced,
informed decisions in real time.
Despite the potential of sensor technology and
AI, achieving reliable environmental awareness is
complex and presents several challenges.
A primary challenge is ensuring reliable, high-speed
data transmission from multiple sensors to the
processing unit, which must handle large amounts of
AI enables robots to build a
detailed understanding of their
surroundings. By integrating data
from sensors like ToF, cameras,
LiDAR, and radar through sensor
fusion platforms, robots gain
a comprehensive view of their
environment, allowing for real-
time decision-making."
Rajesh Mahapatra
Senior Principal Engineer,
Software and Security Group, Analog Devices
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9 Experts Discuss Robotics, AI, and ML in Industrial Applications
