Robohub.org
 

Inroads in perception


by
22 August 2014



share this:

Google’s recent acquisition of Emu Messenger is just one of many items in recent news about improvements in perception and artificial intelligence (AI).Emu, not to be confused with the Australian ostrich-like bird nor the European Monetary Union, is a small Palo Alto start-up comprised of some serious software talent with experience in machine learning, natural language processing and mashing up different data, databases and systems at Siri, Apple, AOL and Google. Perception in this case is the feeling that your words and intentions are understood and acted upon. No financial details were disclosed about the acquisition however the Emu app will be shut down next week.

Another form of perception, computer eyesight (AKA machine vision), took a giant step forward when the winners were announced for this year’s Large Scale Visual Recognition Challenge. The NY Times reported the winners: the National University of Singapore, the Oxford University, Adobe Systems, the Center for Intelligent Perception and Computing at the Chinese Academy of Sciences, as well as Google in two separate categories.

Fei-Fei Li, director of the Stanford Artificial Intelligence Laboratory said, “What really excites us is that performance has taken a huge leap.”

Machine vision has been a challenge in automation and robotics but in recent years has become integral in countless applications including computer gaming, medical diagnosis and factory robotics. Carmakers too have added the ability to recognize pedestrians and bicyclists and trigger safety actions. Factory robots need much improved perception systems in order to monitor the progress of their tasks and the tasks of those around them. [A quick Google Images search produces a collage of various uses, from milking to adaptive cruise control.]

Enhanced algorithms, data libraries and faster and cheaper computing are all contributing to the increased accuracy and speed of the systems recognizing objects and identifying them by type and in 3D space, nevertheless, at their best they are still no match for human vision and perception.



tags: , , , , , ,


Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.
Frank Tobe is the owner and publisher of The Robot Report, and is also a panel member for Robohub's Robotics by Invitation series.

            AUAI is supported by:



Subscribe to Robohub newsletter on substack



Related posts :

Robots in society, business and culture: October 2026

We showcase a selection of robotics stories from society, business, research and culture.

Muscle coordination can be mimicked by electric motors – it could lead to improved robots

  02 Nov 2026
Researchers built a physical model using ordinary electric motors to try and simulate how muscles may perform tasks.

Robot Talk Episode 168 – Advancing robotics with novel electronics, with Zlatka Stoeva

  30 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Zlatka Stoeva from DZP Technologies about flexible, stretchable and soft printed electronics for dexterous robots.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

and   28 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

Robots in society, business and culture: September 2026

We showcase a selection of robotics stories from society, business, research and culture.

Robot Talk Episode 167 – Automating construction, with Jan Petrš

  23 Oct 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Jan Petrš from École Polytechnique Fédérale de Lausanne about novel robot designs for construction and architecture.

ACM SIGAI Autonomous Agents Award 2027 open for nominations

  20 Oct 2026
Nominations are solicited for the 2027 ACM SIGAI Autonomous Agents Research Award.

Powered by muscle cells, a paper-thin robot swims through watery maze

  19 Oct 2026
MIT engineers’ new aquabot offers a way to design small, efficient “biohybrid” robots.


↑


AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence