CORDIS Project
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XSCAVE focuses on enhancing autonomy in earth-moving, forestry, and logistics through advanced machine learning techniques. The project aims to develop intelligent models that allow machines to adapt to varying terrains and tasks, improving efficiency and safety in operations.
Earth-Moving, Forestry, and Urban Logistics are sectors where increased autonomy can spur drastic economic growth along with addressing some core societal (e.g. address labor shortage) and environmental problems (e.g. minimize soil damage, fuel consumption).
Yet there are persisting challenges related to variations of tasks/environments that are intricately linked to the terrain-machine contact encountered during navigation and manipulation.
For example, an Excavator machine used in Earth-Moving…
TARTU ULIKOOL
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
Finland, Tampere
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Finland, Espoo
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
United Kingdom, STAINES UPON THAMES
Type: Company (for-profit)
Activity type: Private for-profit entities (excluding Higher or Secondary Education Establishments)
SME: No
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