BrainCo Stark Python SDK

Industrial-grade dexterous robotic hand control SDK with multi-protocol support and cross-platform compatibility.

🤖 Supported Devices

Device Motor Touch Sensor Protocols
Revo1 Basic 6-DOF - Modbus, CAN 2.0
Revo1 Touch 6-DOF Capacitive Modbus, CAN 2.0
Revo1 Advanced 6-DOF - Modbus, CAN 2.0, CANFD, EtherCAT
Revo1 Advanced Touch 6-DOF Capacitive Modbus, CAN 2.0, CANFD, EtherCAT
Revo2 Basic 6-DOF - Modbus, CAN 2.0, CANFD, EtherCAT
Revo2 Touch 6-DOF Capacitive Modbus, CAN 2.0, CANFD, EtherCAT
Revo2 Touch Pressure 6-DOF Pressure (Modulus) Modbus, CAN 2.0, CANFD, EtherCAT

Touch Sensor Capabilities

  • Capacitive: Normal/tangential force detection, proximity sensing
  • Pressure (Modulus): High-precision pressure distribution mapping

🔌 Protocol & Platform Support

Protocol Linux macOS Windows Hardware
Modbus RTU ✅ ✅ ✅ USB-RS485 adapter
CAN 2.0 / CANFD ✅ ✅ ✅ See CAN adapters below
EtherCAT ✅ ❌ ❌ EtherCAT NIC

CAN Adapter Support (built-in)

Adapter Linux macOS Windows Notes
ZQWL USB-CAN ✅ ✅ ✅ Cross-platform, 6Mbps serial, recommended
SocketCAN ✅ ❌ ❌ Linux kernel native
ZLG USBCANFD ✅ ❌ ✅ Requires ZLG driver

🚀 Key Features

Motor Control

  • Position, speed, current, and force control modes
  • Real-time status monitoring (angle, current, error, voltage)
  • Trajectory planning and action sequences

Touch Sensing

  • Proximity and contact detection
  • Normal and tangential force measurement
  • High-precision pressure distribution (Modulus sensors)

Device Management

  • Auto-detection across multiple protocols
  • Firmware updates (DFU/OTA)
  • Configuration management (baudrate, CAN ID, limits)
  • Device info retrieval (SN, firmware version, hardware type)

Developer Tools

  • Comprehensive Python API with type hints
  • C/C++ bindings for embedded systems
  • GUI debugging tools included
  • Extensive examples and documentation

📦 Installation

pip install bc-stark-sdk

📚 Documentation & Examples

🔗 API Reference

📄 License

Proprietary - © 2015-2026 BrainCo Inc. All rights reserved.

Key dates

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1 maintainer

PyPI data
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Avatar for Yongle-Fu from gravatar.com Yongle-Fu

Requires

Python >=3.9

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