Nissan's Autonomous Drive makes a first on Japan's highways.
Robosavvy founder Limor Schweitzer was featured on Fox Business discussing the impact of 3D printing on robot design and manufacturing.
Schweitzer compared the cost of some well known research robots, which can run from $30k to over $1 million, versus much more accessible 3D printed humanoids in the $1,000-$3,000 range.
To illustrate his points, Schweitzer brought along two robots - Franky, a surprisingly complex and capable humanoid (closeup below), and Fonzie, a dancing and entertainment humanoid featuring the 3D printed head of Jason Bradbury - host of the UK Gadget Show program.
Here’s the full interview:
Meet Valkyrie, NASA JSC's DARPA Robotics Challenge humanoid robot. Learn more: http://spectrum.ieee.org/automaton/robotics/military-robots/nasa-jsc-unveils-valkyrie-drc-robot
By IEEE Spectrum
In search and rescue missions, Micro Air Vehicles (MAV's) can assist rescuers to faster locate victims inside a large search area and to coordinate their efforts. Acoustic signals play an important role in outdoor rescue operations. Emergency whistles, as found on most aircraft life vests, are commonly carried by people engaging in outdoor activities, and are also used by rescue teams, as they allow to signal reliably over long distances and far beyond visibility. For a MAV involved in such missions, the ability to locate the source of a distress sound signal, such as an emergency whistle blown by a person in need of help, is therefore significantly important and would allow the localization of victims and rescuers during night time, through foliage and in adverse conditions such as dust, fog and smoke. In this work we present a sound source localization system for a MAV to locate narrow-band sound sources on the ground, such as the sound of a whistle or personal alarm. Basiri, M., Schill, F., Lima, P. U., & Floreano, D. (2012, October). Robust acoustic source localization of emergency signals from Micro Air Vehicles. In Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on (pp. 4737-4742). IEEE.
NAO asks you a series of math questions (addition, subtraction, multiplication, etc...). The way NAO asks a question is both oral and visual at the same time. NAO writes the equation while saying it. Then you have two ways to give your answer, which is either based on speech recognition, or on image recognition (pic number). This application enables two differents experiences, and is promised to be a fun app for both parents and kids.
By franck calzada
At IREX 2013 in Tokyo Japan we were able to confirm that Futaba is the servo supplier for the popular Robi Humanoid Robot Kit.
By Robots Dreams