Robohub.org
 

As Ford sets a date, Jibo retracts theirs


by
19 August 2016



share this:
Source: Jibo/YouTube

Source: Jibo/YouTube

Bringing a complex new product to market is an intensive process fraught with problems. Getting hardware ready for manufacturing is often the easy part; it’s the software and regulatory compliance that’s often the most challenging. Here are three examples: Ford Motor Co., Velodyne LiDAR and Jibo.

ford-research-center_800_435_80

Ford Motor Co.

Ford announced plans to begin delivering fully driverless vehicles – cars without a steering wheel or pedals – in the next five years. It plans to initially target ride-sharing fleets and package delivery services with deliveries to individuals later in the decade. Since human drivers are the most costly piece in the metrics of commercial fleet operations, autonomous driving is the next big push to reduce costs and improve productivity and safety.

According to a Wall Street Journal article, Ford said that it was “keenly focused on fully driverless cars with concern over semiautonomous features [such as adaptive cruise control, emergency braking, and steering assistance] and whether drivers can take over quickly enough when driverless systems are disabled. We’re not going to play in this middle-of-the-road approach,” said Raj Nair, Ford’s product chief.

Ford has decided to not take the incremental approach that many other car companies are taking partly because the regulatory and insurance aspects of autonomous driving haven’t been worked out yet, nor has the artificial intelligence of the control software.


Photo: Velodyne LiDAR HDL-32E

Photo: Velodyne LiDAR HDL-32E

Velodyne LiDAR

Ford also announced a $75 million investment in Velodyne, a Silicon Valley LiDAR maker. Ford’s investment in Velodyne is aimed at helping both Ford and Velodyne successfully recognize objects and navigate traffic. The funds will also be used to help Velodyne lower the cost of their LiDAR to between $300 and $500, the price point at which mass adoption becomes practical.

Baidu, a large Chinese web services and search provider, also participated in the $150 million investment in Velodyne.

Velodyne’s LiDAR sensors provide a full 360 degree 3D environmental view and are used in autonomous vehicles, industrial equipment/machinery, and for 3D mapping and surveillance. As can be seen in the chart provided by Frost & Sullivan, LiDARs will play a big role in all phases of the emergence of self-driving vehicles.

Source: Frost & Sullivan;VDS Automotive SYS Konferenz 2014/

Source: Frost & Sullivan;VDS Automotive SYS Konferenz 2014/

Velodyne’s problem is to get their LiDARs down in cost so that the company can be a major provider of LiDAR sensors for all new vehicles.


Source: Jibo The World's First Social Robot for the Home/YouTube

Source: Jibo The World’s First Social Robot for the Home/YouTube

Jibo

In a setback to global customers that pre-ordered Jibo’s, Jibo announced that they cannot deliver and will refund those orders, leaving only US and Canada orders unchanged. Jibo had previously announced a general delivery delay of nine months earlier this year.

In the email update to its international backers Jibo writes: “After exploring all the options, we have come to the conclusion that we will not be able to deliver Jibo to your country”, adding this is because the bot “won’t function up to our standards in your country.”

International orders add layer upon layer of localization issues: electrical certifications, language, speech recognition, cultural nuances, etc. Jibo’s solution to these mounting problems was to cancel all international orders and endure the disappointment of customers in the 45 countries involved.

Jibo, a cute social robot that premiered in a very successful IndieGoGo campaign in mid-2014, is now only going to ship to backers in the U.S. and Canada, with deliveries beginning in late October. From social media reports, it seems that there is still a lot of tumult about the software side of Jibo, the SDK, and the app site amongst insiders at Jibo as well as app developers. The consensus is that the initial round of Jibo’s to begin delivery in late October will be very limited in what they can do or what services they can offer.



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 :

How to teach the same skill to different robots

  11 May 2026
A new framework to teach a skill to robots with different mechanical designs, allowing them to carry out the same task without rewriting code for each.

Robot Talk Episode 155 – Making aerial robots smarter, with Melissa Greeff

  08 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Melissa Greeff from Queen's University about autonomous navigation and learning for drones.

New understanding of insect flight points way to stable flapping-wing robots

  07 May 2026
The way bugs and birds flap their wings may look effortless, but the dynamics that keep them aloft are dizzyingly complex and difficult to quantify.

Robotically assembled building blocks could make construction more efficient and sustainable

  05 May 2026
Research suggests constructing a simple building from interlocking subunits should be mechanically feasible and have a much smaller carbon footprint.

Robot Talk Episode 154 – Visual navigation in insects and robots, with Andrew Philippides

  01 May 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Andrew Philippides from the University of Sussex about what we can learn from ants and bees to improve robot navigation.

Ultralightweight sonar plus AI lets tiny drones navigate like bats

  29 Apr 2026
Researchers develop ultrasound-based perception system inspired by bat echolocation.

Gradient-based planning for world models at longer horizons

  28 Apr 2026
What were the problems that motivated this project and what was the approach to address them?

Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu

  24 Apr 2026
In the latest episode of the Robot Talk podcast, Claire chatted to Chenying Liu from University of Oxford about how a robot's physical form can actively contribute to sensing, processing, decision-making, and movement.



AUAI is supported by:







Subscribe to Robohub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence