AMBER
AMBER
Impact of the project
The new generation of image guided therapy robots will see more autonomy in mutual positioning between different parts of the system which poses challenges with respect to position accuracy but creates opportunities for smoother and higher-level interaction between the user (i.e., the physician) and the system. Traditionally, physicians interact with image guided therapy systems controlling them by means of a joystick which provides low level inputs in terms of velocity and direction of movements. This type of control is time consuming and not intuitive for certain movements (i.e., homing). Advancing the behavioural autonomy of such systems for non-surgery related movements would reduce the workload on medical personnel in a time with heavy workforce shortages. It would also enhance the clinical workflow reducing treatment time and decreasing expenses.
Project summary
AMBER will employ Artificial Intelligence (AI) to increase the level of autonomy of medical robots which interact with its users in unstructured environments focusing on image guided therapy systems. The methods developed within AMBER will enable physicians to interact with such robots at a higher level of abstraction. Instead of controlling each movement through a joystick, the user will be able to provide behavioral goals such as 鈥済o to home position鈥� which will be executed by the robot autonomously. The project will advance the state-of-the-art of perception and control algorithms for medical robots. Emphasis will be given to usability and safety of the algorithms and mechatronic design.
AMBER will seek answers to the following two generic research questions:
- How can behavioral autonomy of medical robots operating in unstructured, dynamic environments be increased by AI algorithms for non-surgery related tasks?
- How can the control aspects of advanced medical robotic systems be improved with respect to usability and safety?
| Effective start/end date | duration 60 months |
|---|
Collaborative partners
- Eindhoven University of Technology (lead)
- Philips Eindhoven
Funding Programme: TKI HTSM
Contact:
- Industry: Philips IGT (Image GuidedTherapy) - Marco Alonso
- Knowledge institute:黑料福利网, Paul Merkus