Within the first reporting period the consortium made solid progress in setting up a common software-hardware platform for supporting research on Functionally Accurate Robotic surgery. The common platform supports a broad range of sensory inputs that are accessible for running real-time decision-making. A modular bi-manual collaborative robotic platform was established to tackle and support improved PSP and/or ELD. Within this period a few “firsts” can be reported: first use of real-time HSI based visualisation to guide an endoscopic cadaver experiment, first cadaver experiment under guidance of a co-manipulation robot suggesting significant benefits in instrument management, first smart drilling system prototype integrating a set of non-visual sensors (electrical impedance, accelerometers, drilling torque, drilling speed, and vibro-acoustics), first development of a behaviour-based framework based on an eTaSL-OROCOS-ROS2 for surgery, first PSP data collection in phantom, animal and human cadaver with newly integrated sensors, and a first development of a method to identify PSP functional parameters only on the dorsal aspect of the spine. During the second reporting period, the consortium continued the activities working towards a single integrated system. Whereas some experiments on ELD were still conducted in this period, the focus shifted to minimal invasive PSP, hence aiming to reduce tissue damage. During these investigations, several approaches to MIPSP were explored. Extensive work was conducted on developing a framework for MIPSP that relies on US-guidance rather than the traditional approaches relying on radiation and/or optical tracking. In close collaboration with clinicians a viable surgical workflow was optimized. Apart from originally planned experiments also human volunteer experiments (of part of the procedure) were conducted. A unique dataset that is provided in open access to the community as a result. New methods for registration and coordinated control were developed. The consortium conducted a very intensive experimental campaigns resulting in as much as 137.5GB data which may shed further unique insights in the near future.