Case Studies - Senserbot https://www.senserbot.com Automation Solutions Wed, 29 Jun 2022 07:20:12 +0000 en-US hourly 1 https://www.senserbot.com/wp-content/uploads/2021/08/senserbot-150x150.png Case Studies - Senserbot https://www.senserbot.com 32 32 Temasek Polytechnic https://www.senserbot.com/case-studies/temasek-polytechnic/ Wed, 27 Apr 2022 07:09:21 +0000 https://www.senserbot.com/?post_type=portfolio&p=1490 Aurora at work Temasek Polytechnic (TP), Singapore A Proven Success: Temasek Polytechnic Deploys Robot Across Multi-Level Library, Saving 16 Man-Hours a Day […]

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Aurora at work

Temasek Polytechnic (TP), Singapore

A Proven Success: Temasek Polytechnic Deploys Robot Across Multi-Level Library, Saving 16 Man-Hours a Day

“Robbie (renamed from ‘Aurora’) is part of how we improve productivity and the user experience.

The tireless robot assistant saves library officers 16 man-hours a day so they can undertake less tedious work.”
– Library director of TP, Ms Puspa Yeow

No More Shelving for Library Staff

“Robbie (renamed from ‘Aurora’) is very helpful for library staff. It allows us to embark on new projects and focus on our work.”
– Library Executive, Ms Maizurah Idris

As an academic institution, TP’s library is a critical resource to staff and students. Enabling patrons to find what they need quickly and accurately is a top priority, as is identifying missing books.

Standing at an impressive 10-storeys, the TP library is open to all current students, staff and members.

To maintain such an extensive collection, it takes an estimated 16 hours between 3 library officers every day to complete the labour-intensive shelf-reading process.

TP’s approach to this problem was to integrate Aurora’s intelligent reports with their existing online catalogue. Thanks to Aurora’s shelf-scanning technology, exact book locations are kept up to date.

Aurora may not be able to walk up the stairs, but it can nonetheless easily attend to multi-level facilities.

At TP, the robot is scheduled to scan different levels of the library on each day of the week, scanning the entire collection within 5 working days.

Aurora is able to navigate most of the facility via wheel-chair friendly slopes as well as access different levels by riding passenger lifts. This requires minimum intervention from staff, who can control the robot’s movements remotely.

One Aurora Attends Ten Levels

robot librarian

Inspire The Future, Today

TP desires to create a futuristic environment where robots co-exist alongside humans. Aurora the library assistant is an extension of this, alongside other initiatives such as a robotic barista in 1st Avenue (the facility for retail management students).

To further pique the curiosity of students, TP customized their Aurora with a clear casing to demystify its internal mechanisms. The robot is proudly showcased to new and prospective students, an inspiring figure indeed as it busies itself scanning the shelves during their visits to the library.

Get
Aurora
on your Team

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]]> Singapore National Library Board https://www.senserbot.com/case-studies/singapore-national-library-board/ Thu, 17 Mar 2022 01:47:22 +0000 https://www.senserbot.com/?post_type=portfolio&p=1457 Aurora at Work National Library Board (NLB), Singapore A Proven Success: Singapore’s National Library Board improves patrons’ ability to always find books […]

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Aurora at Work

National Library Board (NLB), Singapore

A Proven Success: Singapore's National Library Board improves patrons' ability to always find books in the right place.

NLB at a glance

  • Libraries managed: 27
  • Visitors: 9.06 million
  • Loans: 29.2 million
  • Programmes: 6,000
  • Exhibitions: 16
    *2020 statistics

“The use of robotic solutions has improved efficiency and allows staff to focus on other areas that enhance the library experience and to better serve members of the public.

Aurora has improved the accuracy in locating books in the libraries. The analytics and reports are user-friendly and integrate with the existing workflow.

With daily shelf scanning, there is no longer a need to perform manual stock-taking because the robot keeps it up-to-date.”


– Former CIO & CDO, Mr Siow Shong Seng

The Costly-Shelf Reading Process

At NLB, shelf-reading is performed daily to maintain accuracy against a high frequency of book movements. A daily average of about 90,000 library books were borrowed from the public libraries in 2019.

To cope with such a mammoth task, NLB outsources their shelving operations to external vendors who work an hour before and after opening hours to re-shelve the books. This largely manual task has significantly contributed to NLB’s escalating manpower costs.

Since Aurora joined the team, the expensive man-hours required to maintain shelves have been reduced by more than 50%.

Every night, Aurora independently scans the shelves. When librarians arrive the next morning, a report awaits them with all the items needing attention highlighted.

With this report in hand, staff are then able to take precise action to right the books.

Instead of having to go over the entire collection as they used to do, librarians need only adjust a small number of books highlighted in the intelligent report.

From Outsourced to Autonomous

Inventory Listings of Unprecedented Quality

Traditionally, libraries have to conduct labour-intensive stock takes on a regular basis to obtain quality inventory listings.

As Aurora scans the entire collection everyday with a world-class shelf scanning accuracy of up to 99%, the library is able to maintain an up-to-date inventory of unprecedented quality – all without any additional manpower investment or interruption to customer service.

Delighting Patrons

“Thanks to Aurora, librarians have received fewer queries about where books are located, simply because the books are in their rightful places and patrons can find them easily. So, on the operations side, happy customers, happy staff!”
– Library Manager, Ms Sharon Heng

Library Catalogues were naturally inaccurate with mis-shelved or missing books, leading to patron dissatisfaction when books could not be found.

With Aurora’s help, librarians are able to provide an environment with books that are where they should be. Patrons can now confidently use the library catalogue to locate books, and staff are able to retrieve books more efficiently to serve their customers.

Releasing Staff from Routine Work

Thanks to their robot assistant, staff no longer need to spend hours reading call numbers one by one to identify individual books on the shelves, reducing the time and health risks associated with the labour-intensive tasks.

“Librarians can now focus their attention on other tasks. Reading is still at our core. So, if all the manual jobs can be assisted by robots, my staff can have more time to read, recommend books and connect with patrons.”
– Senior Manager, Ms Lee Yee Fuang

Get
Aurora
on your Team

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