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This project is a comprehensive research platform designed for the end-to-end lifecycle of robotic learning. It provides a modular framework for training neural network policies—specifically through imitation and reinforcement learning—and deploying them onto physical robotic hardware. By offering a unified interface for hardware abstraction, the platform decouples high-level control logic from the specific sensors and actuators of diverse robotic systems. The framework distinguishes itself through a standardized approach to data and policy management. It utilizes a consistent schema for reco
This project provides a complete set of design files and hardware specifications for a 3D-printable industrial-style robot arm. The system includes a CAN bus robot controller for managing stepper motors and sensors, a kinematics engine for calculating joint angles and poses, and a UDP-based Python API for sending motion commands and monitoring telemetry. The system features a force-controlled robotic gripper that utilizes field-oriented control on stepper motors to enable compliant grasping and precise force sensing. It also includes a 3D position visualization tool for real-time telemetry tr
Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT applications. It provides a hardware abstraction layer with standardized drivers to interact with GPIO, I2C, SPI, and PWM interfaces across various single-board computers and microcontrollers. The framework functions as an IoT device orchestrator and BLE device manager, enabling the coordination of multiple sensors, actuators, and Bluetooth Low Energy peripherals. It includes specialized interfaces for drone control, allowing for the management of flight maneuvers and video streams
OM1 is a multimodal AI agent runtime and orchestration framework designed to connect large language models to physical robot hardware and sensors. It provides an execution environment that processes audio, video, and sensor data to drive autonomous decisions and actions in real-world settings. The system integrates a robotics SLAM and navigation stack with a hardware abstraction layer, allowing high-level AI commands to be translated into low-level motor and actuator instructions. It distinguishes itself by incorporating blockchain-based governance to enforce immutable operational rules and p
Dummy-Robot is a software platform designed for the real-time teleoperation of desktop robotic arms. It functions as a human-robot interaction interface, translating gestural input and sensor data into fluid mechanical motion to enable remote physical task execution.
The main features of peng-zhihui/dummy-robot are: Teleoperation Systems, Robotics and Control, Real-time Policy Execution, Desktop Automation, Kinematics, Interaction Research, Teleoperation Mappings, Physics and Motion Dynamics.
Open-source alternatives to peng-zhihui/dummy-robot include: huggingface/lerobot — This project is a comprehensive research platform designed for the end-to-end lifecycle of robotic learning. It… pcrnjak/parol6-desktop-robot-arm — This project provides a complete set of design files and hardware specifications for a 3D-printable industrial-style… hybridgroup/gobot — Gobot is a robotics framework for the Go programming language designed for developing robotics, drones, and IoT… openmind/om1 — OM1 is a multimodal AI agent runtime and orchestration framework designed to connect large language models to physical… rwaldron/johnny-five — Johnny-Five is a JavaScript robotics framework and microcontroller hardware interface designed for programming robots… rlinf/rlinf — RLinf is a distributed reinforcement learning orchestrator and embodied AI training framework. It provides the…