Autonomous mobile
robots are the PLC or PC controlled robotic vehicle which are used to
avoid obstacles and can autonomously navigate without the help of tapes
or reflectors. The AMRs are integrated with complex array of sensors,
machine learning, artificial intelligence, and computing for planning of
path to interpret and navigate in the environment. The integration of
camera and sensors helps the AMR to overcome the unexpected obstacles
such as crowd of people and fallen boxes. These robots use navigation
techniques such as collision avoidance to stop, slow, or re-route their
path and continue with their task.
Autonomous mobile robots are
used in distribution and manufacturing facilities for pick and place,
transportation and sorting items, with the manual intervention. In the
warehouse and distribution facilities these AMR are integrated with
warehouse control systems which helps to improve their flexibilities and
create their own routs in the warehouse or facility.
The global
autonomous mobile robots market size is expected to grow from USD XX
million in 2022 to USD XX million by 2027, at a CAGR of XX%. Increasing
adoption of robotics in manufacturing units and warehouses is the key
factor driving the market growth.
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Drivers: Increasing adoption of autonomous robots in industrial sector
Autonomous
mobile robots offer several benefits in the manufacturing sector such
as improving productivity and automation process, prevention of product
damage and reducing the labour cost. Moreover, with the advent of
industry 4.0, automation is widely adopted for several industrial
application such as sorting and picking, robotics arm, conveyor system,
and material handling. These AMR uses sensors and advance processors to
observe the nearby environment and take autonomous actions by using AI
and ML based algorithms. These robots are experiencing increasing demand
for material handling as AI and vision solution enables the obstacles
detection, and automated path finding to manage most efficient way to
deliver material.
Integration of AI technology in autonomous mobile robots
Mobile
robots are experiencing increasing adoption of sensors and software for
control and perception, which allows robots to understand and reacts
its surrounding. The robots analyse the data delivered from 3D cameras,
integrated laser scanners, gyroscopes, accelerometers, and wheel
encoders which helps to take efficient decision for navigation. The
integration of AI technology in AMR majorly focuses on vision systems
and machine learning, which further helps to improve the sensor-based
capabilities. Thereby, accelerating the adoption of AMRs manufacturing
facilities, hospitals, airports, among others.
Challenges: High cost associated with autonomous mobile robots
High
investment is required in the initial stage to establish an automated
distribution or manufacturing facility to obtain high efficiency and
productivity. This resulted as challenging situation for small and
medium enterprises to put such high investment due to their long delay
returns and low production output. The setup of autonomous mobile robots
requires creation of maps, programming, integration, and addition of
accessories which increases the cost of deploying these robots, further
restraining the market growth.
Key players in the market
ABB
(Switzerland), Bleum (US), Boston Dynamics (US), Clearpath Robotics
Inc. (Canada), GreyOrange (US), Harvest Automation (US), KUKA AG
(Germany), Teradyne Inc. (US) are some of the players in autonomous
mobile robotics market.
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