Hasta La Motion!

Uncharted has been a long running game series which came to an end with its fourth edition titled Uncharted 4: A Thief’s End this year. Developed by Naughty Dog studio and published by Sony Interactive Entertainment exclusively for PlayStation consoles, the games of the series follow the protagonist Nathan Drake as he relentlessly trots the globe in order to uncover historical mysteries and invaluable treasures.

The game has come a long way since its birth back in 2007 (Uncharted: Drake’s Fortune). The developers of the game, Naughty Dog Studios have revealed a video with the makers sharing their experience on how the game has transitioned to what it is now. It takes you through the journey of the developers, what went through their minds and how they embraced the IP through all its phases. Let’s take a look and re-live those moments from the Uncharted series.

The game has definitely come a long way since its first edition and as we incline more towards the usage of newer technology, the developers of Uncharted took the challenge head on and pushed their limits in enhancing the gameplay experience with the assistance on technologies like motion capture.

The initial title of the Uncharted series was released back in 2007 named Uncharted: Drake’s Fortune. Second in line was Uncharted 2: Among Thieves in 2009, followed by 2011’s Uncharted 3: Drake’s Deception and recently this year, the concluding chapter named Uncharted 4: A Thief’s End was released on 10 May.

It must have been an amazing journey for the developers and the fans alike, but like all good things, it came to an end.

The post Peek inside the Uncharted universe through the developer’s perspective appeared first on AnimationXpress.

I think the Aviator was on TV this weekend so I was inspired to make this image and here is a little breakdown:

BREAKDOWN:

1. First thing I did was load this model from the Jetstrike collection and convert the materials to a physical shaders.
2. I was going to just place the ship over a cloud background but I noticed it looked like the aircraft was emerging through the clouds so…
3. I took some dust stock footage and placed it around the craft with Mesh warping. Making sure to put some in front and behind.
4. I used a Z-Depth pass to blend the ship into the cloud layer.
5. As a final touch I added some fog to the render to simulate mist.
6. For motion blur I animated the Turbines with the Jetstrike Rig controls with some additional radial blur.

In this Cinema 4D Tutorial, you will learn how to easily texture and light Motion Capture data to create a reflective metal robot 3D character animation. This video is part of an ongoing series of videos all about how to use motion capture data in Cinema 4D. Watch the full training series here.

In this tutorial, I use our two most popular plugins, Topcoat and HDRI Studio pack to quickly and easily set up beautiful reflections and HDRI Lighting in this scene. Check out these plugins and more from the GSG store to help speed up your render workflow.

HDRI Studio
HDRI Collections
Topcoat

This training series was inspired by your questions about how to make animations like this amazing AICP Sponsor Reel Animation by Method Studios.

Watch The Tutorial

Thankfully for Green Day, and for us, Blink my Brain is doing their part to make the band look cooler than they have since 1994.

Ken Goldberg is the craigslist Distinguished Professor of New Media and Professor of Industrial Engineering and Operations Research (IEOR) at the University of California, Berkeley. He also holds an appointment in the Department of Radiation Oncology at the University of California, San Francisco. He is an artist, writer, inventor, and researcher in the field of robotics and automation.

Cloud Robotics has potential to improve robot performance in at least five ways: 1) Big Data: indexing a global library of images, maps, and object data, 2) Cloud Computing: parallel grid computing on demand for statistical analysis, learning, and motion planning, 3) Open-Source / Open-Access: humans sharing code, data, algorithms, and hardware designs, 4) Collective Robot Learning: robots sharing trajectories, job planning, and outcomes, and 5) Crowdsourcing and call centers: offline and on-demand human guidance for evaluation, learning, and error recovery.