H2020Staff exchange2018–2022

ENDORSE · Safe, Efficient and Integrated Indoor Robotic Fleet for Logistic Applications in Healthcare and Commercial Spaces

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2018-10-01 → 2022-09-30
EU contribution
€1,122,400
Participants
9
Scheme
MSCA-RISE

Lines connect the coordinator with its partners.

Results in brief

Safe, Efficient and Integrated Indoor Robotic Fleet for Logistic Applications in Healthcare and Commercial Spaces

Commercial indoor spaces including hospitals, hotels, warehouses, offices, etc. offer great potential for commercial exploitation of logistic robotics. Such spaces provide inherent advantages for robotics solutions deployment, since they are required by law to meet stringent building codes, and therefore the navigation space exhibits some structure, which favours autonomous navigation. In addition, they offer reliable communication infrastructures, a prerequisite for normal business operation. Thus, commercial spaces are rightfully considered the next great field of logistic robotics deployment. Despite these advantages, today, only a few solutions exist, which have not triggered widespread acceptance by the market. This is because existing systems require costly infrastructure installation (arrays of peripheral sensors, mapping, etc.); they do not easily integrate to corporate IT solutions and as a result, they do not fully automate procedures and traceability; they are limited to a single type of service, i.e. transfer of goods. Through transfer of knowledge, multidisciplinary research and cross-fertilization between academia and industry, ENDORSE has addressed the aforementioned technical hurdles. Four innovation pillars were pursued: (i) infrastructure-less multi-robot navigation, i.e. minimum (if any) installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; (ii) advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded spaces; (iii) deployment of the ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP, CRM, etc.; (iv) reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. The modular architecture was successfully demonstrated and validated by the integration of an e-diagnostic support module, equipped with non-invasive sensors/devices, and the Electronic Health Records (EHR) interfacing, thus serving as an autonomous mobile e-health diagnostic robotic module. The latter mobile e-health diagnostic module allows remote patient monitoring and vital signs acquisition and facilitates full connectivity to a dedicated inpatient-monitoring platform. In addition, the data produced by the e-diagnostic module diagnostic exam report are securely forwarded to update and complement the patient’s cloud-based EHR. The integrated ENDORSE solution comprising a fleet of autonomous mobile robots and the ENDORSE Fleet Management System has been deployed and successfully tested in full-scale lab-controlled environment replicating typical health centres. The evaluation conducted emphasised the good performance of the ENDORSE solution as regarding time-to-deployment and operational dependability.

Data: CORDIS, © European Union

Project objective

Commercial indoor spaces such as hospitals, hotels, offices offer great potential for commercial exploitation of logistic robotics. Also, offer advantages for their deployment, since they are required by law to meet stringent building codes, and therefore the navigation space exhibits some structure. In addition, they offer reliable communications infrastructure, since this is required for normal business operation. Thus, commercial spaces are rightfully considered the next great field of logistic robotics deployment. Despite these advantages, today, few solutions exist, and these solutions do not trigger widespread acceptance by the market. This is because existing systems require costly infrastructure installation (arrays of peripheral sensors, mapping, etc.); they do not easily integrate to corporate IT solutions and as a result, they do not fully automate procedures and traceability; they are limited to a single type of service, i.e. transfer of goods. Through transfer of knowledge, multidisciplinary research and cross-fertilization between academia and industry, ENDORSE will address the aforementioned technical hurdles. Four innovation pillars will be pursued: (i) infrastructure-less multi-robot navigation, i.e. minimum (if any) installation of sensors and communications buses inside the building for the localization of robots, targets and docking stations; (ii) advanced HRI for resolving deadlocks and achieving efficient sharing of space resources in crowded spaces; (iii) deployment of the ENDORSE software as a cloud-based service facilitating its integration with corporate software solutions such as ERP, CRM, etc.; (iv) reconfigurable and modular hardware architectures so that diverse modules can be easily swapped. The latter will be demonstrated and validated by the integration of an e-diagnostic support module (equipped with non-invasive sensors/devices) and the Electronic Health Records (EHR) interfacing, which will serve as an e-diagnostic mobile station

Original text from CORDIS.

Participants

  • UNIVERSITE D'ORLEANS · Orleans Cedex 2CoordinatorFrance
  • CITARD SERVICES LTD · StrovolosCyprus
  • EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON · ATHINAGreece
  • PANEPISTIMIO THESSALIAS · VOLOSGreece
  • ROBOTNIK AUTOMATION SL · PaternaSpain
  • SINGULARLOGIC PLIROFORIAKON SYSTIMATON KAI EFARMOGON PLIROFORIKIS · CHOLARGOS, ATTIKISGreece
  • STREAM VISION · ParisFrance
  • UNIVERSITAT POLITECNICA DE VALENCIA · ValenciaSpain
  • UNIVERSITY OF CYPRUS · NicosiaCyprus

Links

Data: CORDIS, © European Union