Saras Project official site
We implemented the MULTIROBOTS-SURGERY platform as a collection of ROS* nodes. All the ROS nodes are connected to a central unit acting as ROS core, in charge of providing a common timestamp and driving the communication between nodes, and data recording module.
The figure shows the conceptual architecture of MULTIROBOTS-SURGERY platform in terms of ROS nodes.
*ROS is an open source, distributed, component-based development framework that has become the standard de facto for interfacing heterogeneous hardware and software in robotics applications.Read More
The robot motion planning is generally solved before the robot actually executes the desired motions and in case of motions that must avoid obstacles, this approach may work with static obstacles only.
The SARAS Workshop “NEXT GENERATION INTELLIGENT SURGICAL SYSTEMS: Computer simulation meets robotics”, addressed to researchers representing SARAS’ two major fields of application: robotics and surgery, summarize the results of the project and presents the achievements obtained, including demonstrations, with the main objective of raising awareness of the project’s results (MS7).
SARAS Multirobots-Surgery is the first step toward the next generation of surgical robotic systems merging artificial intelligence, computer vision, machine learning and cognitive control for smarter and safer hospitals
Nowadays, during Robotic-Minimally Invasive Surgeries, two surgeons are needed in the operating room:
Dexterity and perception capabilities of surgical robots may soon be improved by cognitive functions that can support surgeons in decision making and performance monitoring, and enhance the impact of automation within the operating rooms.Read More