Imagine a robot hand that can pick up almost anything, from a heavy car part to a delicate food item, without needing a different tool for every job. It uses a special 'sticky' electric grip and a brain that learns from watching humans to handle objects smoothly. This makes factory lines much easier to change when switching between different products.
Manufacturing lines are often rigid and expensive to reconfigure when product shapes or materials change. Current robotic gripping often requires expensive, custom hardware for every new part, leading to inefficiency and high downtime.
A system of AI-driven planning and control for grasping and assembly, featuring soft grippers with electro-active fingertips and a multi-modal perception system for monitoring.
If you are a vehicle assembly plant dealing with high product variability—this project developed AI-enhanced robotic handling that increases flexibility and efficiency. It allows for faster reconfiguration of lines to handle different parts. This reduces the downtime needed to switch production models.
If you are a packaged food manufacturer dealing with fragile or oddly shaped items—this project developed versatile soft grippers with electro-active fingertips. These tools ensure safe handling of diverse products. This minimizes product damage during the sorting and packaging process.
If you are a warehouse automation provider dealing with a massive variety of package sizes and materials—this project developed self-supervised grasp and release planning. This allows robots to handle items without manual programming for every new object. It speeds up the sorting and transportation of goods.
Based on available project data, specific pricing or implementation costs are not provided. The project focuses on reducing financial and social costs of adoption through user-driven design.
The technology is being validated in 5 industrially relevant scenarios across automotive, household appliances, hand tools, food processing, and logistics. This indicates a strong push toward industrial scaling.
Based on available project data, specific licensing terms are not mentioned. The project does study legal and liability aspects regarding AI system adoption in critical industrial applications.
It uses a reference architecture designed to be easy to integrate and configure. This is supported by AI-based multi-modal perception for continuous monitoring of handling operations.
The project period runs from 2023-01-01 to 2025-12-31, with validation deliverables planned as part of the work cycle.
The consortium is heavily industry-weighted with 8 industrial partners (57% ratio), including 4 SMEs. With 14 partners across 6 countries, the project is designed for commercial transfer rather than pure academic research, combining the expertise of 5 research centers and 1 university to ensure the AI tools meet actual factory floor requirements.
Contact FUNDACION TEKNIKER in Spain for technical specifications and partnership opportunities.
Contact us to match your production line needs with HARTU's robotic gripping capabilities.
