D1.1. Report with the set of predicates that define the surgical environment.
(Public). D1.3. Global architecture of the system.
(Public). D1.4. Definition of the experimental set-up and the evaluation metrics.
D2.1. Actuation rules in first order logic.
D2.3. Simulator to emulate the sutures from a logic point of view.
(Public). D3.1. Algorithm for medical image segmentation and labelling.
(Public). D4.1. Report of the review task of New techniques for characterization of biological tissues.
D5.1. List of high-level motion/force primitives.
D7.1. Report on metrics for neurosurgery.
D8.1. Report on the robot system: design specifications, kinematic model and fault tolerance.
D8.2. Software developed for the kinematic simulation of the robot.
(Public). D9.4. Report with the validation tests results for the scheduling module.
(Public) D10.4. Report with the validation tests results for the control, coordination and supervision module.
(Public) D11.2. Report with the results of the in-vitro experimentation.
Milestones
Experiment for autonomous bone milling
Experiment for autonomous straight biopsy
Experiment for autonomous tool navigation
Other files
(Public). Córdoba, J. M. (2025). Neurosurgical biopsy path planning and robotic execution through multidimensional learning from demonstration (Doctoral dissertation, Universidad Miguel Hernández de Elche). – Doctoral thesis
