RAWCLIC - Consolidated Composition Data - Robotics

Description

This dataset provides consolidated information on the component and material composition of robots, developed as part of Deliverable 3.1 of the EU-funded RAWCLIC project. It supports quantitative assessment of raw material demand, resource intensity, and environmental footprints associated with the expanding global robotics landscape — a key hardware driver of the twin transition.

Robots are classified using a two-level hierarchical scheme covering primary robot category (productKey1) and specific family or class (productKey2). Three main categories are distinguished: industrial robots (single-arm manipulators), industrial transport robots, and humanoid robots. Industrial robots are grouped into five families (IRF-1 to IRF-3B) spanning small precision systems to heavy-payload articulated arms, defined by total system weight, payload capacity, reach, and number of axes. Industrial transport robots are classified by navigation principle and payload capacity, covering rail-guided vehicles (RGVs), automated guided vehicles (AGVs: tugger, platform, pallet stacker, and forklift types), autonomous mobile robots (AMRs), and fixed-infrastructure goods-to-person systems. Humanoid robots are organized into four classes — Industrial Workhorse (HRC1), Dynamic Research Platform (HRC2), Service & Interaction Robot (HRC3), and Lightweight & Educational Platform (HRC4) — reflecting differences in system weight, functional orientation, and deployment context.

The physical composition of each robot type is modeled through a hierarchical component structure (componentKey0 and componentKey1), decomposing systems into major functional subsystems and their constituent parts. For industrial robots, these include the structural frame, servo motors, gearboxes/reducers, controllers and electronics, cables and connectors, sensors and encoders, and miscellaneous hardware. Humanoid robots are decomposed into frame and chassis, actuators and drivetrain, battery and energy systems, controllers, sensors, shell and casing, and wiring harness. Industrial transport robots follow a parallel structure covering frame and chassis, drive system, wheels and track interface, energy supply, controller and electronics, sensors, load handling, and wiring harness. For each parameter, minimum, mode, and maximum values are provided, enabling both deterministic and probabilistic modelling. Data quality metadata and full source references are provided in the accompanying reports.

About RAWCLIC

RAWCLIC (Future RAW materials demand, supply and sustainability in the face of CLImate Change) is a 48-month EU-funded research project coordinated by BRGM, with Empa as lead beneficiary for Work Package 3. The project develops knowledge on future raw material demand, supply, and environmental impacts driven by the twin transition in the EU, empowering industry and policymakers to make informed, evidence-based decisions in support of sustainable transition pathways. Further information at www.rawclic.eu.