The webpage from iRobot (n.d.) launches the Roomba J7+, a new ingenious robot. The robot vacuum cleaner is an upgrade from the previous predecessor, Roomba J7. According to Woodford (2023), the iRobot vacuum brand is known for their smart autonomous cleaners that are capable of navigating on its own. In short, the J7+ was made to detect and steer off obstructions such as cables, socks and pet litter which results in requiring lesser time for pre-cleaning.
Some of the upgrades are the Imprint Smart Mapping and PrecisionVision
Navigation. From the iRobot webpage (n.d.), it states that the J7+ is great at
surveying terrains and its ability to recognise objects thanks to the
incorporation of iGenius Robot 3.0 and advanced sensors. One of the key
features is the Smart Imprint Mapping system that uses vSLAM (Visual
Simultaneous Localization and Mapping) and better sensors to learn the floor
plan and divides it into different individual rooms (Ide, 2021). It does a
great job at executing a clear and accurate map, preventing contact with walls
and furniture while it is cleaning (Mauder, 2022).
Apart from the Smart Mapping, the PrecisionVision Navigation
uses the same system and sensors to automatically detect objects and stay clear
of common objects like cables, socks, shoes and pet faeces. The self-directed
vacuum can recognise pet faeces and navigate its way around it (Moscaritolo,
2021). Working together with iGenius Robot 3.0 and enhanced processor, it
allows the robot cleaner to look for alternative passageway to finish its
cleaning task (Lamkin, 2022). Noticeably, the robot vacuum works best in bright
areas as compared to dimly lit areas. In short, the iRobot Roomba J7+ is an
automatic cleaning robot equipped with advanced technologies such as Smart
Imprint Mapping and Obstacle Avoidance to make cleaning more efficient while
requiring minimal human intervention.
The Smart Imprint Mapping enables the robot to familiarise itself
with the working space. According to iRobot webpage (n.d.), the robot vacuum
uses vSLAM to depict a map by recognising distinct features such as permanent
furniture, picture frames, windows and ceiling lights which will be the markers
for the robot vacuum to position itself. This Smart Imprint feature allows
numbers of maps to be stored in its memory feed which enables users’ options to
personalise their rooms and zones. Moreover, this also enables users to tailor
their cleaning tasks, schedules and direct the robot vacuum to clean specified
areas without much hassle (Hales, 2023). The robot vacuum does not necessarily
need to be on the mapping run, it can map the floor plan even during the cleaning
routine (Lawrence, 2022).
The PrecisionVision Navigation allows the robot to clean
effectively while detecting and avoiding objects at the same time due to its
front-facing camera and LED on the front. When combined with iGenius Robot 3.0
processor, this feature allows the robot automatically to adjust the algorithm
to steer away from objects that they stumbled upon (McDonough, 2022). According
to Colon and Moscaritolo (2023), it states that the robot has the capability to
take pictures of encountered objects and store it in its memory space to use
for future reference. Additionally, these images will be used as references to
make decisions to avoid the obstacles on its future cleaning tasks which
eventually led to the increased of cleaning efficiency.
The price gap between the iRobot Roomba J7 and J7+ is
considerably substantial. According to iRobot webpage (n.d.), it states that
the J7 comes at $1,818 while the J7+ is at $2,448. Despite the high cost, the
maintenance and repair fees are not covered for. Users are required to cover
the expenses on their own unless they are subscribed to its protected plan
which users will receive the convenience of automatic accessory restocking and
repair services.
In conclusion, the PrecisionVision Navigation and Smart
Imprint Mapping plays an important role in enhancing the vacuum’s cleaning
operations while being able to detect and avoid obstacles. When incorporated
with the iGenius Robot 3.0, it enables the robot vacuum to automatically adapt
its navigation algorithm to work around the objects which ensures smoother and
efficient cleaning operations. Furthermore, its ability to capture and store
images of encounter objects makes it a valuable database which can be used as
references for future cleaning runs.
REFERENCE
iRobot Webpage (n.d.) iRobot Roomba J7+
https://irobot.com.sg/product/irobot-roomba-j7-nm/
Woodford. C (2023) Roomba Robot Vacuum Cleaners
https://www.explainthatstuff.com/how-roomba-works.html#:~:text=Roomba%20is%20a%20compact%2C%20computerized,spinning%20brushes%20and%20a%20vacuum.
Ide, J (2021) Roomba J7 Vacuum Features
https://www.mirror.co.uk/tech/roomba-j7-robot-vacuum-features-24936309
Mauder, E (2022) Roomba J7+ Review: A life-changing robot
vacuum
https://www.zdnet.com/home-and-office/kitchen-household/irobot-roomba-j7-review/
Lawrence, E (2022) How to map a house with the iRobot Roomba
https://www.digitaltrends.com/home/how-to-map-house-with-roomba/
Moscaritolo, A (2021) iRobot Roomba J7+ Review
https://www.pcmag.com/reviews/irobot-roomba-j7-plus
Lamkin, P (2022) iRobot Roomba j7+ review: Not after your
cables or your dog's poop. https://www.the-ambient.com/reviews/irobot-roomba-j7-review-2842
McDonough, M (2022) iRobot Roomba j7+ review
https://www.tomsguide.com/reviews/irobot-roomba-j7-plus
Colon, A and Moscaritolo, A (2023) The best robot vacuum
2023
https://www.pcmag.com/picks/the-best-robot-vacuums
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