L2AST

Enhancing Liver Laparoscopic robot Autonomy with Shared-Control Tools: Application to stop bleeding and RT-localization of tumors – Application of digital twins to laparoscopic surgery for blood detection and real-time intraoperative replanning.

PID2022-138206OB-C32 financiado por MICIU/AEI/10.13039/501100011033 y por FEDER, UE

Coordinated project between Universidad de Málaga (UMA), Universidad Miguel Hernandez de Elche (UMH) and Universidad de Valladolid (UVa).

The general objective of this project focuses on the development of technologies for providing a robotic assistant for laparoscopic liver surgery with skills for helping in the resolution of bleeding events that occur during surgery, as well as the management of both an intraoperative ultrasound probe and the endoscope. All these functionalities will be integrated and validated under a cognitive scheme.

the following specific objectives are defined:

  • SO1: Design and development of task planning methodologies based on a cognitive architecture, with supervisory capabilities, that coordinates human-robot collaboration during liver resection.

  • SO2: Design and development of methods for the construction of a personalised digital liver twin for each patient.

  • SO3: Design and development of real-time trajectory generation strategies using intraoperative imaging and position-force feedback for interaction with deformable tissues.

  • SO4: Implementation of a demonstrator that integrates all the techniques developed during this project.

PROJECT OUTCOMES

This project deals with …

Explicación sobre los resultados. En la publicación XXX se cuenta sobre ….. En el repositorio GitHub del grupo se encuentra la aplicación XXX, escrita en Python que permite leer por BLE de un dispositivo.  Se incluye también en los deliverables el manual de usuario del sistema homeitb.

Journal papers
  • Manrique-Cordoba, J.; de la Casa-Lillo, M.Á.; Sabater-Navarro, J.M. N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning. Sensors 2025, 25, 2145. https://doi.org/10.3390/s25072145

Other publications
  • Juliana Manrique-Cordoba, Jesús Cases-Hurtado, Juan David Romero-Ante, Miguel Ángel De la Casa Lillo, José María Sabater-Navarro 3D Trayectory Data Optimization Through an Adaptation of the Douglas-Peucker Algorithm: Application to Surgical Robotics. 2024 9th International Conference on Control and Robotics Engineering (ICCRE)

Mass media

 

 

PROJECT PHOTOS

 

 

» Liver digital twins’ development and Intraoperative registration approaches»

PROJECT MEMBERS

Research team

  • José María Sabater Navarro
  • Alberto Rodríguez Martínez
  • Miguel Ángel de la Casa Lillo
  • Ana María Sabater Marcos
  • Julia Arias Rodríguez
  • Concepción Parejo Prados
  • Julio Cesar Álvarez Santos

Work team

  • Juliana Manrique Córdoba
  • Juan David Romero Ante
  • Jesús Cases Hurtado
  • Arnau Busqué Nadal
  • Marina Poveda Pérez

Contact

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