Search Results for "make"

Open X-Embodiment is a large-scale collaborative initiative led by Google DeepMind to unify robotic learning datasets into a consistent and standardized format, simplifying access and usage across the robotics research community. Its primary goal is to make all available open-source robotic data interoperable by representing them using the RLDS (Reinforcement Learning Dataset Structure) episode format. This enables seamless integration for training, evaluation, and model development across diverse robotic tasks and embodiments. The dataset aggregates contributions from multiple open-source robotic projects, all harmonized under a single unified data schema. ...

...The package comes with two applications built on top of dockserverTalk: BUGS: a program to monitor and display the position of gliders (as well as buoys and ships) with respect to a given GPS location (from an external source). Surfalarm: a program that can send text messages or make direct phone calls, acting upon a glider to surface and connect to a dockserver, being in a mission, or aborted. Serial2rudics: a helper program that lets a glider simulator connected to a serial port appear as a glider connecting and disconnection via rudics/iridium when at ther surface or underwater, respectively.

...While the project has since been deprecated in favor of more modern frameworks, it remains historically significant as a bridge between early reinforcement learning research and scalable, open-access environments. Its goal was to make reproducible robot learning experiments available to a wider audience without restrictive dependencies .

...Instead of fighting ROS internals, you call clear methods for things like base navigation, arm manipulation, and camera capture, and PyRobot handles the plumbing. It was built to make research repeatable on accessible platforms—most notably low-cost mobile manipulators—while still scaling to richer hardware. The library exposes canonical abstractions (base, arm, gripper, camera, sensors) with calibration and kinematics helpers so beginners can get meaningful results quickly. It also plugs into simulation backends, letting you prototype perception and control algorithms before deploying on physical robots. ...

...b) Arms and linkages don't have to have super tight tolerances, because accuracy is achieved by tightly integrated visual feedback that's easy to program and low complexity processing. Ability to program easily with a GUI and visual interface that sees things from the robots' camera perspective. Flexible use of coordinate spaces that make programming arms with 6 or more degrees of freedom super easy. Got a bot arm with 13 linkages that can reach around corners? Easy. Simple arm with only 2 degrees of freedom, with one polar and one cartesian? Any arm geometry works.

pyPal is a jabber based chatterbot that can be used to launch commands remotely as well as to make some good conversation. It is expected to be capable of multi-language learning.

A 2D robotic simulation built on top of the Box2D physics engine. The goal is to make the code ridiculously easy to understand and extend.