Advanced ai and robotics for autonomous task performance
Tender Summary
The TECH HIVE LABS ASTIKI MI KERDOSKOPIKI ETAIREIA in Belgium from Europe region has released this tender for Advanced ai and robotics for autonomous task performance Maintaining the competitiveness and leadership position of crucial industries such as renewable energy and agriculture, is contingent upon AI and Robotics increasingly becoming a widespread and integral part of the relevant technological landscapes, particularly in the face of steep labour shortages. ARISE project aims to introduce a combination of perception and control modules around a reconfigurable robotic manipulator that will enable a step change in the level of automation of complex manipulation tasks. ARISE will comprise the following key novel technology components that will significantly push the state of the art in terms of automatic task segmentation, human robot interaction and complex manipulation: (1) Two reconfigurable pneumatic-based robotic manipulators mounted on a mobile robotic platform (2) Novel soft end-effectors with variable stiffness that will allow for a diverse set of manipulation tasks (3) A Robotic perception module comprising 3D vision algorithms (4) A Localisation and Mapping module that will allow the robot to accurately identify its position within the environment (5) A Semantic Mapping module powered by scene understanding algorithms (6) A Knowledge Representation framework that will capture important information regarding objects’ properties and relationships (7) A Hierarchical Imitation Learning framework for acquiring robotic skills to accomplish complex tasks directly from human demonstrators (8) A Human-Interaction conditioned Path and Task planning module enabling reactive robot control (9) An edge-AI framework for deploying Machine Learning models and computer vision algorithms at the edge in a streamlined fashion. The ARISE toolchain will be integrated and validated in 5 real use case scenarios including installation and repair, and transplanting and harvesting tasks, in solar and hydroponic farms, respectively. with tender notice no. 101135959 published on 05 Oct 2026. The tender is due to expire on 31 Dec 2027. This tender is sourced from Cordis and is eligible for suppliers interested in Artificial Intelligence, Robotic Software. Interested bidders can obtain further information including complete bid documents or ways to participate by registering on Tender Impulse and referencing via Tender Impulse ID 15191559.
Tender Details
Tender NoticeTI Ref: 15191559
Tender Notice No
101135959
Tender Organisation
TECH HIVE LABS ASTIKI MI KERDOSKOPIKI ETAIREIA
Tender Sector
Tender Service
Worldwide
Tender Region
Tender Project Location
Tender CPV
72212514 : Artificial Intelligence72261000 : Robotic Software
Tender Source
Cordis
Tender Document Type
Tender Notice
Tender Deadline
31 Dec 2027 443 days left
Tender Description
Advanced ai and robotics for autonomous task performance Maintaining the competitiveness and leadership position of crucial industries such as renewable energy and agriculture, is contingent upon AI and Robotics increasingly becoming a widespread and integral part of the relevant technological landscapes, particularly in the face of steep labour shortages. ARISE project aims to introduce a combination of perception and control modules around a reconfigurable robotic manipulator that will enable a step change in the level of automation of complex manipulation tasks. ARISE will comprise the following key novel technology components that will significantly push the state of the art in terms of automatic task segmentation, human robot interaction and complex manipulation: (1) Two reconfigurable pneumatic-based robotic manipulators mounted on a mobile robotic platform (2) Novel soft end-effectors with variable stiffness that will allow for a diverse set of manipulation tasks (3) A Robotic perception module comprising 3D vision algorithms (4) A Localisation and Mapping module that will allow the robot to accurately identify its position within the environment (5) A Semantic Mapping module powered by scene understanding algorithms (6) A Knowledge Representation framework that will capture important information regarding objects’ properties and relationships (7) A Hierarchical Imitation Learning framework for acquiring robotic skills to accomplish complex tasks directly from human demonstrators (8) A Human-Interaction conditioned Path and Task planning module enabling reactive robot control (9) An edge-AI framework for deploying Machine Learning models and computer vision algorithms at the edge in a streamlined fashion. The ARISE toolchain will be integrated and validated in 5 real use case scenarios including installation and repair, and transplanting and harvesting tasks, in solar and hydroponic farms, respectively.
Tender Bidding Type
Tender Document
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Frequently Asked Questions About This Tender
Who has issued this tender, and what is it for?
The tender has been issued by TECH HIVE LABS ASTIKI MI KERDOSKOPIKI ETAIREIA in Belgium. Such a type of tender falls under Artificial Intelligence, Robotic Software, within the IT-Software sector, and is listed on Tender Impulse under notice number 101135959.
What are the key dates for this tender?
The notice was published on 05 Oct 2026 and submissions close on 31 Dec 2027. Late bids are rarely accepted in public procurement, so aim to have your documents ready several days before the closing date.
Which CPV codes apply to this tender?
It is classified under CPV codes 72212514, 72261000, which correspond to Artificial Intelligence, Robotic Software. If your company supplies these products or services, these are the codes to save in your alert profile so no matching tender passes you by.
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Is this tender beneficial for me?
The procurement is applicable to companies in the Artificial Intelligence, Robotic Software and related industries. If you belong to this industry, you can review the technical documents before assessing your relevance to your company.
What is the procurement trend for Advanced ai and robotics for autonomous task performance?
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