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2047 Apologue

Collaboration between WHITEvoid, Kinetic Lights and director Zhang Yimou incorporates a mechanical array of arrangeable lamps to provide context to a dance performance:

Chinese director Zhang Yimou who is best known for his movies “Raise the Red Lantern”, “Hero” and “The Great Wall” but also for directing the opening and closing ceremonies of the Beijing Olympics returns to the theater stage with his concept perfomance “2047 APOLOGUE”.  

Zhang Yimou has unveiled his latest work at the National Center for the Performing Arts in Beijing. Based on Peking Opera “Sanchakou,” “2047 Apologue” is breaking the form of traditional stage plays, combining Chinese folk art with the latest technology. The show aims to mirror reality, commenting on how science and technology are a huge part of life in the 21st century. The show consists of 8 parts, each combining a traditional chinese craft, music or dance style with modern high tech such as lasers, robots, drones and kinetics.

WHITEvoid was commissioned to create, program and direct the kinetic display for the last part of the show called “Weaving Machine”. The 9 minute performance features 640 motorized LED spheres, an anchient chinese weaving machine and a modern dancer. German motor winch producer KINETIC LIGHTS provided the vertical hoist systems for the LED spheres and control software. Russian RADUGADESIGN animated a complementing video backdrop and CPG Concepts from Hong Kong provided the dance choreography for british dancer Rose Alice.

Link

Augmented reality sandbox - move the land around and it shows off the topography and sea/water level.

Doodle Studio 95

Project from Fernando Ramallo is a drawing and animation tool for Unity with simple interfaces to create assets for games and interactive experiences, a bit like Flash but in 2.5D:

DOODLE STUDIO 95 is a FUN drawing and animation tool for Unity.

Doodle an animation without leaving the Editor and turn your drawings into sprites, UI elements, particles or textures, with a single click.

Features

Draw inside the Unity Editor

Easy presets for backgrounds, characters and UI elements

Example scenes with 2.5D characters, foliage, speech bubbles and transitions, with reusable scripts

Draw and animate inside the Scene View (beta)

Shadow-casting shaders

Don’t think about materials or image formats, it Just Works.

Five Symmetry modes

Record mode adds frames as you draw

Record a sound with a single click! Boop!

Easy API for using animations with scripts

Convert to sprite sheets or GIFs

…and more

You can find out more here, and even try out a browser-based interactive tour here

Ona alışveriş listesini verince market alışverişini o yapıyor..

When he gives her the shopping list she does the grocery shopping.

#robot #robotics #robotik #automation #otomasyon #endüstriyel #endüstri #eticaret #mühendis #engineer #amazing #nice #great #successful #design #art #instagood #project #proje #teknoloji #technology #shopping #life #good #awesome #tasarım #mechatronica #engineering #store #trustme

Jeff Chang

Designer and artist is experimenting with ARKit to place and control cute characters he has created and place them in realworld scenes:

A post shared by Jeff Chang (@jeffchangart) on Aug 28, 2017 at 8:03am PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 11, 2017 at 6:03pm PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 12, 2017 at 6:08pm PDT

A post shared by Jeff Chang (@jeffchangart) on Sep 13, 2017 at 6:15pm PDT

Jeff has a Tumblr account [@jeffchangart] but you can find updates on Instagram here

Research makes robots better at following spoken instructions

A new system based on research by Brown University computer scientists makes robots better at following spoken instructions, no matter how abstract or specific those instructions may be. The development, which was presented this week at the Robotics: Science and Systems 2017 conference in Boston, is a step toward robots that are able to more seamlessly communicate with human collaborators.

The research was led by Dilip Arumugam and Siddharth Karamcheti, both undergraduates at Brown when the work was performed (Arumugam is now a Brown graduate student). They worked with graduate student Nakul Gopalan and postdoctoral researcher Lawson L.S. Wong in the lab of Stefanie Tellex, a professor of computer science at Brown.

继续阅读

Marvin Minsky, Artificial Intelligence, September 1966; in Readings from «Scientific American» (ca. 1950): Computers and Computation, With Introductions by Robert R. Fenichel and Joseph Weizenbaum, W. H. Freeman and Company, San Francisco, 1971, pp. 123-131

Continuing from my previous post, a little FYI …

You can download your model and upload it to @sketchfab

The example above was created using this current Tumblr Radar image from @made

AI Pathfinding - Update

An update on the A* pathfinding system I’m doing for my prototype. I’ve added smoothing to the paths so I get a more natural looking movement. I’ve also added weights, which means I can add a penalty to moving on different surfaces, which the AI will take into account when finding a path.

For example if there is puddle of mud between the unit and its target location (and walking through mud slows the units speed), it will figure out if its better to walk around the mud or walk through it. Another example as shown in the GIF, the grass has a small movement penalty, making the AI prefer to walk along the road instead of straight to the target, despite the path being longer.