Thursday, February 21, 2019
Sphero's New RVR
RVR is Sphero’s revolutionary take on the programmable robot -- drivable right out of the box, packed with a diverse suite of sensors, and built for customization. RVR is a hackable mobile platform for beginners, educators, students, and tech hobbyists.
IEEE Spectrum has it covered well in "Sphero's New RVR Robot Is More Hackable Than EverRVR is rugged, affordable, expandable, and easy to program" by Evan Ackerman.
Sphero RVR is on Kickstarter now for $199 ($250 retail), with a promised delivery in October of 2019. The Kickstart page has tons of info.
Wednesday, February 20, 2019
Friday, February 15, 2019
JPLraw Video - Mars Opportunity Rover Mission
Via JPLraw at YouTube - "Video file for media and public use. NASA announced the completion of the Mars Exploration Rover (MER) Opportunity's mission after a final attempt to command the rover. Opportunity last communicated with Earth on June 10, 2018, as a global dust storm blanketed the solar-powered rover's location on Mars. Opportunity landed at Meridiani Planum on Mars Jan. 24, 2004, at 9:05 p.m. PST (Jan. 25, 2004, at 12:05 a.m. EST). The golf-cart-sized rover has an initial goal of driving 700 yards (600 meters) and operating on the Red Planet for 90 Martian days (sols). Instead, Opportunity operated over 14 years, and traveled over 28 miles (45 kilometers)."
Thursday, February 14, 2019
NASA's Opportunity Rover Mission on Mars Comes to End
NASA's Opportunity Rover Mission on Mars Comes to End - See the whole story here at JPL - https://www.jpl.nasa.gov/news/news.php?feature=7334 Great images and video.
And there was this from blindwire.
Happy Valentine's Day from R.U.S.
Be with those you love. Do what you love. Happy Valentine's Day from R.U.S.
Saturday, February 2, 2019
MIT Robot Learns How to Play Jenga
Using machine-learning and sensory hardware, Alberto Rodriguez, assistant professor of mechanical engineering, and members of MIT’s MCube lab have developed a robot that is learning how to play the game Jenga. The Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line. From IEEE Spectrum. More at MIT here.
