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Eco label score calculator

The eco-score generated through this self-assessment tool is indicative only and does not represent a formally standardized or internationally validated sustainability rating. The methodology, parameters, weightings, and scoring criteria used in this tool are subject to ongoing research, expert consultation, and future international alignment efforts. As a result, the current eco-score should be interpreted as a preliminary guidance metric, intended to raise awareness and support voluntary improvement, rather than as a definitive or audited environmental performance label.

Robotics sustainability assessment is an evolving field, and no globally agreed framework, common calculation method, or harmonized indicator set yet exists. Further scientific work, cross-sector agreement, and international standardization are required before a fully validated eco-score system can be established.

By using this tool, you acknowledge that the results are not legally binding, not externally verified, and not suitable for regulatory compliance, procurement guarantees, or comparative claims without additional independent assessment.

Note: The calculated eco-label score is displayed only to you and is not accessible or stored by us.

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Importance factors determine how important each sustainability dimension is in calculating the overall eco-score. A higher value means that dimension has a greater impact on the final result. Values can be set between 0 (no influence) and 100 (maximum influence).

NOTE: If importance factor is 0 then questions related to that particular dimension are not asked!

Does the project incorporate recycled or secondary raw materials , are bio-based or polymer-metal composite materials prioritized ? *
Does the project incorporate rare or virgin materials or high purity materials or high material wastage ? *
Are materials selected to enhance durability, repairability, or enable refurbishment (e.g., reinforced composites, self-healable materials, or reprocessable polymers) ? *
Does the project use brittle or easily degradable materials that limit product lifetime or repair ? *
Are low-mass structural, conductive, or thermally insulating materials used to improve system energy performance ? *
Does the project use dense, poorly conductive, or thermally inefficient materials that increase energy losses ? *
To what extent are lightweight or thermally optimized materials used to reduce the robot’s operational energy consumption? (e.g., lightweight structures, thermal insulation, conductive materials reducing energy losses) *
To what extent do the selected materials increase the system’s energy demand during operation or cooling? (e.g., heavy structures, poor thermal management, high-friction materials) *
Are lightweight, locally sourced, or low-temperature processing materials used to minimize carbon emissions ? *
Does the project rely on energy-intensive, long-distance, or high-emission material extraction and processing methods ? *
Are components designed with mono-materials or easily separable, non-toxic parts compatible with recycling infrastructure ? *
Does the project include multi-layer composites, permanent adhesives, or hazardous additives that hinder recycling ? *
Does the project use second-life batteries, responsibly sourced materials, or promote localized battery production? *
Does the project rely on virgin or rare battery materials or processes with high energy consumption for recharging or extraction? *
Does the project integrate advanced BMS/EMS, optimized charging algorithms, or thermal management strategies that extend battery lifespan? *
Does the project suffer from poor battery management, non-optimized charging, or thermal instability reducing system lifespan? *
Are low-carbon energy sources or high-density, long-life batteries used to minimize CO₂ impact? *
Does the project depend on fossil-fuel-based charging, high carbon mining, or combustion-based power sources? *
Are energy-efficient, long-lasting battery systems or optimized batteries for specific applications implemented? *
Does the system use gasoline or aging batteries with poor insulation or high energy losses? *
Are recycling pathways (e.g., hydrometallurgy) or battery designs for disassembly and modularity established? *
Does the project include designs with poor recyclability, mixed materials, or glued battery packs that hinder recovery? *
Are recycled, bio-based, or multifunctional sensor materials used to minimize raw material consumption? *
Does the project use scarce or critical raw materials (e.g., indium, gallium) in sensor components? *
Are sensors designed with protective coatings, self-healing polymers, or self-calibration features to extend their lifespan? *
Are sensors prone to frequent recalibration, replacement, or environmental degradation (e.g., dust, moisture)? *
Are renewable energy sources or energy-efficient manufacturing processes used for sensor production (e.g., MEMS fabrication)? *
Does the sensor manufacturing process involve high energy usage, long transport chains, or emission-intensive materials? *
Are low-power, optimized sensor designs or efficient signal-processing algorithms implemented to reduce energy use? *
Do sensors operate continuously without power-saving modes or involve high processing energy demand? *
Are sensors designed with modular structures or eco-friendly encapsulation that support disassembly and recycling? *
Do sensor designs involve complex miniaturization, hazardous encapsulation, or materials difficult to recover or recycle? *
Are energy-efficient semiconductor designs or ethically sourced rare-earth materials used in processor manufacturing? *
Does the project rely on rare or critical raw materials or single-use processor components? *
Does the project use modular architectures, AI-driven predictive maintenance, or self-healing circuits to extend processor lifespan? *
Do processors require frequent replacement or involve high computational loads that accelerate degradation? *
Are manufacturing processes optimized for low carbon output, using renewable energy or efficient semiconductor fabrication? *
Are large AI chips or semiconductor manufacturing steps associated with high embodied carbon or waste accumulation? *
Are low-power processors, AI-based power management, or battery-less IoT devices implemented to improve energy performance? *
Do processors require intensive cooling, high performance at constant load, or energy-demanding recycling processes? *
Are biodegradable, modular, or easily separable materials used, or are refurbishment programs in place for outdated chips? *
Does the project have low material recovery rates, costly recycling, or rely heavily on virgin semiconductor materials? *
Are actuators designed using low-weight, compact, or biodegradable/self-healing/recyclable materials to reduce resource use? *
Does the actuator system use rare earth elements, generate metal waste, or involve heat-treatment processes with oils or salts? *
Are actuators designed for durability with self-healable coatings, modular parts, or predictive maintenance features? *
Are actuators poorly repairable, single-use, or lacking modular replacement options? *
Are renewable-energy-powered actuators or energy-efficient control systems implemented to minimize emissions? *
Do actuators emit from hydraulic systems, use hazardous lubricants, or require energy-intensive manufacturing? *
Do actuators integrate intelligent power management or lightweight designs to reduce total energy demand? *
Are actuators highly power-intensive, inefficient in transmission, or reliant on high-precision manufacturing machinery? *
Are actuators designed for reuse, closed-loop recycling, or easy disassembly to enhance material recovery? *
Do actuator designs include composite or mixed housings, bonded components, or features hindering material separation? *
Are designs simplified for fewer or lighter parts, purpose-specific, or optimized through 3D/4D printing to reduce material waste? *
Does the project use rare materials, overly complex or redundant designs, or excessive multifunctional components? *
Are designs modular, with standardized parts that are interchangeable, repairable, or upgradeable for extended use? *
Do designs include non-standardized, sealed, or difficult-to-repair systems that shorten lifespan? *
Are energy-efficient, bioinspired, or AI-assisted design principles applied to minimize structural emissions and operational impact? *
Are design structures power-intensive or mechanically inefficient, leading to higher embodied carbon? *
Are small, lightweight, and application-specific designs used to optimize power management and reduce energy consumption? *
Does the design include oversized, friction-heavy, or poorly optimized power systems that waste energy? *
Are snap-fit connectors, mono-material subassemblies, or easily separable designs used to enable recycling and reuse? *
Does the design include mixed materials, laminates, or adhesives that hinder disassembly or recycling? *
Are mono-material parts or prioritization algorithms for reuse/remanufacturing implemented to improve resource efficiency? *
Does the system include parts fastened with adhesives, mixed materials, or complex heterogeneous integration? *
Are parts modular, accessible, and standardized to enable easy repair, refurbishment, or replacement? *
Are system components fragile, sealed, or inaccessible, making disassembly and maintenance difficult ? *
Are automated or algorithmic disassembly processes used to minimize energy use and emissions at end-of-life? *
Is disassembly mostly manual, energy-intensive, or reliant on shredding-based recycling methods? *
Are optimized joints, standardized tools, or AI-assisted disassembly robots used to reduce time and energy in disassembly? *
Does the design require careful handling or involve fragile assemblies that increase energy or time demand? *
Does the system include design-for-disassembly principles, robot-assisted recycling, or disassembly-friendly housings for material recovery? *
Are there non-removable batteries, laminated structures, or mixed materials that reduce recyclability quality? *