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by   -   July 8, 2015

Jibo_Prototype_Andy_AtkinOur most recent video update comes from our VP of Engineering Andy Atkins. Take a sneak peak inside the minds of our engineers as they finish our newest Jibo P2s, to find out what kinds of challenges and hurdles we have overcome in the past year.

interview by   -   May 29, 2015


In this episode, Audrow Nash speaks to several robotics companies at the company showcase at RoboBusiness 2014, which took place in Boston, Massachusetts.

An unpowered exoskeleton developed by Carnegie Mellon and North Carolina State researchers helps individuals walk using less energy.

by   -   February 12, 2015
The Pleurobot
The Pleurobot (Photo: Hillary Sanctuary & BioRob).

The Pleurobot is a bioinspired robot being developed by the BioRob at EPFL and NCCR Robotics. Taking it’s cues from the salamander, the Pleurobot is a walking robot that can change its gait to help it to navigate uneven terrain, and is currently learning to swim.  Watch the video to see the researchers discuss what they are doing with the Pleurobot and how they hope to improve it in future.

by   -   February 9, 2015


Boston Dynamics just released a video of a new four legged robot named “Spot”.  It is an evolution along the lines of their previous four-legged robots like BigDog and Wildcat, but this one is much smaller and lighter (160lbs / 72.5kg). As usual not many details are known, but Spot is electrically powered (others had an internal combustion engine onboard) and has a prominent rotating LIDAR on top.

by   -   January 7, 2015

The much touted Mercedes F105 “Luxury in Motion” is a concept, and not a planned vehicle, but it draws together a variety of ideas — most of which we’ve seen before — with some new explorations.

by   -   July 25, 2014

Jonathan Cheseaux, a masters student from Switzerland, has developed a system can detect and localize any WiFi device by sniffing its WiFi packets.

by   -   July 4, 2014

The TiddlyBot, which just launched on Kickstarter, has been developed to help young people have fun and learn about robotics and programming.

The ‘Projector Drone’ does not record the world around it. It broadcasts onto it.

by   -   June 3, 2014

Tesla CEO, Elon Musk, recently announced that the car manufacturer will produce self-driving cars within three years. Nissan has announced that it will have a self-driving car available by 2020, and Google has said it will do so by 2018. But how do these vehicles work?

by   -   May 28, 2014

Google completed a major step in its self-driving cars project by presenting its first purpose-built autonomous car. The car, which has no steering wheel or controls, can accommodate two people and some luggage.

by   -   May 14, 2014


Mirobot is a robotics kit that’s designed to get kids more interested in technology, engineering and programming. Children solder and build it themselves, and then can use a drag-and-drop programming tool in their browser to get the robot to draw shapes and patterns.

by   -   March 4, 2014


UPDATE 04/03/2014:

In this video update, we show that a quadrocopter can be safely piloted by hand after a motor fails, without the aid of a motion capture system. This follows our previous video, where we demonstrated how a complete propeller failure can be automatically detected, and that a quadrocopter can still maintain stable flight despite the complete loss of a propeller. 

by ,   -   January 5, 2014

Tjin Van Der Zant helped found “Robocup at Home” in 2006, and since then the organization has spread to include a number of new locations everywhere from Brazil to Thailand. As a professor at the University of Groningen in the Cognitive Robotics Lab, and founder of a Robotics startup and machine learning startup – he’s pretty “involved” when it comes to robots – and it made me eager to pick his brain about the future of home robotics.

by ,   -   December 23, 2013

RoboEarth - mapping in the cloud

UPDATE: New video of a collaborative, cloud-based mapping experiment. Mapping is essential for mobile robots and a cornerstone of many more robotics applications that require a robot to interact with its physical environment. It is widely considered the most difficult perceptual problem in robotics, both from an algorithmic but also from a computational perspective. Mapping essentially requires solving a huge optimization problem over a large amount of images and their extracted features. This requires beefy computers and high-end graphics cards – resulting in power-hungry and expensive robots.

Robots Podcast: Quest for computer vision, with Peter Corke
October 3, 2014

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