799sszzyy/Robotic-Manipulation-Sensors-Guide

The project is a classic academic 'companion repository' for a survey paper. With 0 stars and 0 forks, it currently has no market presence or community traction. Its primary value is educational, serving as a structured guide for integrating disparate sensors (tactile, force, visual) into the ROS2 ecosystem. The defensibility is extremely low because it consists of standard configurations and known algorithms; it does not introduce a proprietary engine or a unique dataset. Frontier labs (OpenAI/Google) have no interest in maintaining driver configurations for niche hardware, making the frontier risk low. However, the project is highly susceptible to 'bit rot' as ROS2 distributions evolve. Competitors include established frameworks like MoveIt or ROS-Industrial, which offer more robust, professionally maintained hardware abstraction layers. The displacement horizon is short (1-2 years) because hardware-specific drivers and fusion techniques are rapidly being superseded by end-to-end foundation models that ingest raw sensor data directly, bypassing the manual configuration and traditional fusion pipelines described here.