EARTH
Electronic Appliance Recovery using Teams of Humans and Robots
EARTH Solution
A human-in-the-loop disassembly cell that fuses generative pose estimation, three control modes (Autonomy / Shared Control / Teleoperation with safety assist), and adaptive safety compliant with ISO/TS 15066. The cell executes consistent, traceable disassembly tasks, running AI locally on-site for fast response times and secure, sovereign data handling.
Vision AI
Generative pose estimation
3-Mode Control
Autonomy to teleoperation
ISO/TS 15066
Adaptive safety compliant
Challenge
High variability across brands, models, sizes, and damage levels.
Worker safety risks: repetitive strain, sharp edges, heavy parts, electrical hazards.
Inconsistent throughput and limited process efficiency.
Poor data capture for logging and KPI tracking.
Objectives & KPIs
The pilot develops and tests an EARTH cell that fuses generative pose estimation, 3-mode shared control, and ISO/TS 15066 adaptive safety. Key technologies and methods include:
–50% worker hazard exposure.
Reduction of reconfiguration & programming time by 30%.
Operator SUS >60%.
2 JARVIS tools at TRL-7: Vision (object recognition & pose estimation) and Teleoperation.
Plug-and-play integration via ROS 2 + Docker + OPC UA.
Verifiable material-flow data enabling safety, efficiency, and sustainability KPIs.
Consortium
euroDAO
Coordinator & Tech Integrator
Robotics, AI agents, AI perception, motion planning & shared control.
SUEZ
Industrial End-User
WEEE operations, human-robot interaction, vision systems, process alignment, AI-powered robotics.
JARVIS PILOT
This project has received funding from the European Union's Horizon Europe research and innovation programme under grant agreement nº 101135708. The dissemination of results herein reflects only the author's view, and the European Commission is not responsible for any use that may be made of the information it contains.