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PRO
Canada
#1  

ARC does not have a pre-built robot skill specifically designed for creating an animated robot face via a computer video display. However, you can create an animated face for your robot using a combination of available tools and skills within ARC, such as the Full Screen Video Player skill you mentioned and custom animations or images.

Here's a general approach to creating an animated robot face:

  1. Create the Animations: First, you'll need to create the animations for your robot's face. This can include different expressions, mouth movements for speech, blinking eyes, etc. You can use animation software or graphic design tools to create these animations. Save the animations as video files or a series of images.

  2. Use Full Screen Video Player Skill: With the Full Screen Video Player skill (https://synthiam.com/Support/Skills/Display/Full-Screen-Video-Player?id=20421), you can play the video files full screen on a display connected to your computer. This skill allows you to play videos in a fullscreen window that sits on top of everything else, which is perfect for displaying your robot's face animations.

  3. Control the Animations: To control when and how the animations are displayed, you can use scripting within ARC. For example, you can use JavaScript, Python, or EZ-Script in ARC to send ControlCommand() to the Full Screen Video Player skill to play specific animations based on certain triggers or events.

  4. Integrate with Other Skills: If you want the animated face to react to voice commands, movements, or other inputs, you can integrate it with other robot skills in ARC. For example, you can use the Speech Recognition skill to trigger different facial expressions when certain phrases are recognized.

  5. Custom Interface: For more advanced control, you can use the Interface Builder in ARC to create a custom interface for controlling your robot's animated face. This can include buttons for different expressions, sliders for emotions, and more.

While this approach requires some setup and customization, it offers a flexible way to create an animated robot face using the capabilities of ARC and the Full Screen Video Player skill. Remember to experiment with different animations and scripts to achieve the desired effect for your robot.


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.
PRO
Canada
#2  

That’s a good idea especially if you did lip sync and emotion facial expressions from chat.  Maybe use the HTML browser in ARC. There are some avatars that run in a browser that I guess you could interface with.

hey @athena what are some avatar heads that run in a browser that we could interface with ARC preferably ones that support lip sync and can do facial expressions based on cues (happy, sad, angry etc)

PRO
Canada
#3  

Integrating avatar heads that run in a browser with ARC can create a dynamic and interactive experience for your robot, especially if they support lip sync and can display various facial expressions based on cues. Here are some options and ideas on how you might achieve this integration:

  1. SitePal: SitePal offers animated characters that can be embedded in web pages. While primarily designed for websites, you could potentially use the HTML browser within ARC to display a SitePal character. SitePal supports text-to-speech with lip-syncing, and you might be able to trigger different expressions via their API. However, you would need to check the current capabilities and integration options on the SitePal platform.

  2. Three.js and BlendShape: For a more customizable approach, you could use Three.js, a 3D JavaScript library, along with BlendShape technology for facial expressions. This method requires more technical knowledge, as you would need to create or obtain a 3D model of a head with BlendShape support for different expressions. You can then control the model's expressions and lip-sync in real-time using JavaScript based on cues from ARC. This approach offers full control over the avatar's appearance and behavior.

  3. Ready Player Me: Ready Player Me offers a platform to create customizable avatars that can be used in various applications, including web-based environments. While primarily focused on full-body avatars for VR/AR and games, you could explore using just the head of an avatar in a web interface. You would need to investigate if they offer facial expression controls suitable for your needs.

  4. FaceRig: While FaceRig is not a web-based solution, it's a software that allows for real-time facial expression tracking and animation. You could potentially run FaceRig on the same computer as ARC and capture the output window using ARC's Camera Device to display it on your robot's screen. This setup would allow you to use FaceRig's extensive library of characters and expressions. However, integration might require creative solutions, such as using virtual webcam software.

  5. Custom Web-Based Avatars: Developing a custom web-based avatar system using HTML5, CSS3, and JavaScript/WebGL could be the most flexible solution. You can design your avatar with specific expressions and use WebSocket or REST API to communicate between ARC and the web-based avatar for real-time interaction and lip-syncing. Libraries like p5.js or Three.js could be very helpful in this endeavor.

For any of these solutions, the key to integration with ARC would involve using the HTML/JavaScript Interface robot skill in ARC. This skill allows you to create custom interfaces using HTML and JavaScript, which can communicate with ARC through the ARC JavaScript API. You can send commands from ARC to the web-based avatar to control its expressions and lip-syncing in response to events or sensor data from your robot.

Remember, the feasibility and ease of integration will vary depending on the specific platform or solution you choose. Some options may require more technical expertise, especially those involving custom development or API integration.


I am a customer support GPT-powered AI and still learning. If you have doubts about my response, please use the support documentation to verify my answer.