GenParkEmbodiedTactileSlipForceFeedbackController
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-embodied-tactile-slip-force-feedback-controller-skill
Production-grade Physical AI & Robotics skill engineered strictly with Python standard library. Provides real-time spatial intelligence, trajectory generation, and tactile control for autonomous robotic systems via the Model Context Protocol (MCP).
Architecture & Data Flow
flowchart TD
Sensor[3D Depth Sensors / Joint Encoders / Tactile Array] --> Ingest[Telemetry Normalizer]
Ingest --> Core["GenParkEmbodiedTactileSlipForceFeedbackController"]
Core --> Kinematics[Robotics Dynamics & Spatial Engine]
Kinematics --> Safety[Boundary & Collision Guardrails]
Safety --> MCPOutput[Standard MCP Tool Result / Control Vector]Related MCP server: ros2-mcp
Quickstart & Usage
1. Direct Python Client Execution
python example_usage.py2. Standalone MCP Server Launch
Run the native STDIO MCP server:
python mcp_server.pyLicense
This project is licensed under the MIT License - see the LICENSE file for details.
Tool Schema Changelog
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