WearableIntelligenceSystem VS webots

This architecture is pretty much what we've built out as a smart glasses software framework here: https://github.com/emexlabs/WearableIntelligenceSystem

Smart glasses are a novel interface in a few key ways. Most obviously, they bring the screen directly in front of the user, so they are able to access a visual information stream at all times. Not as commonly thought-about, but perhaps more important, is the access to always on point-of-view (POV) sensory data. This allows the machine to "see what you see" and "hear what you hear". The video above is a quick display of a few basic features that smart glasses can provide. We'd love to know where you see this technology going? Of course spatial computing and AR is cool and hype now, but what use cases do you think you'll use in your everday life? What could enhance your intelligence and capabilities by taking advantage of this new form factor? We're trying to answer these questions, and building a system that makes it easy for developers to build their own smart glasses applications: https://github.com/emexlabs/WearableIntelligenceSystem

Also, the Open Source smart glasses software stack Wearable Intelligence System has this transcription/translation built-in: https://github.com/emexlabs/WearableIntelligenceSystem

Here's the open source system: https://github.com/emexlabs/WearableIntelligenceSystem

Soon there will be! I am working with a team right now to develop an app for smart glasses that I am designing in a way that will help me with my ADHD. Here's the project.

We're trying to answer these questions, and building a system that makes it easy for developers to build their own smart glasses applications: https://github.com/emexlabs/WearableIntelligenceSystem

Open Robotics Resources - Provides guides and documentation for robotics simulation.

Deepbots is an open-source framework facilitating reinforcement learning in Webots. Webots provides easy-to-use tools to create your own worlds/robots, and deepbots interfaces Webots with any gym-compatible RL agent. It does this by guiding even the most novice users to create gym-style environments that are compatible with Webots (we have recreated the classic control problem CartPole successfully in Webots, among others). Deepbots handles all low-level details to interface the environment with the simulator.

FreeCAD has a robotics workbench, and it is free software. There's also the Webots Open Source Robot Simulator which comes with lots of robots out of the box and is also free software, meaning you can not only download and use it free of charge, you can also influence development by fixing bugs yourself or filing issue reports.

have you tried webots? https://cyberbotics.com/

The complete change log is available here: https://www.cyberbotics.com/doc/reference/changelog-r2023

Get it now from https://cyberbotics.com or https://github.com/cyberbotics/webots/releases/tag/R2023a

Cyberbotics remains committed to provide high quality, free and open source software to the robotics community on the long run.

Seriously, everyone thinking of robotics should know about this concept. Save yourself hundreds of thousands of dollars and try out the operating environment, your robot design, your sensors, your code, your trouble shooting skills and the newest hardware on a free piece of software. https://cyberbotics.com/

Webots https://cyberbotics.com/, is a good resource for coding robots using Python.

See the official announcement and change log. Get it now from GitHub or https://cyberbotics.com

a free robot simulator i happen to be aware of, you may find it useful but I never actually used it: https://cyberbotics.com/