Future Semi-Autonomous Machines for Safe and Efficient Worksites - FAMOUS
“Maximal productivity and safety by predictive and adaptive automation”
Productivity and safety of a work machine rely heavily on the machine features, but most of all on the individual driver; his skills, vigilance, motivation etc. FAMOUS enables its participants to implement new machine and process control systems based on situational awareness and flexible safety functions. Semi-autonomous functions will make machines less dependent on the human mistakes of the operator, or other work site personnel. Under failure situations machines can continue operation in limited modes instead of full stop. Innovative sensor technology designed for mobile work machines will enable the development of autonomy into new level.
Project has seven tasks (main tasks underlined):
T0. Management
T1. Specifications, modelling and requirements
T2.
Sensing technology for future autonomous machines (SENSIBLE)T3.
New adaptive safety concepts for human-machine collaboration (SECO)T4.
Operator assistance systems for mobile machines (OPE)T5. Integration, Use cases and Experimenting
T6. Technology analysis and Dissemination
Situational awareness, dynamic risk assessment and multioperation method in future work sites are the key focus areas in the research. All tasks will jointly develop these domains. All tasks are divided into more detailed sub tasks on the base of the contributions of project partners.
FAMOUS project will be done in close collaboration with 5 major global machine manufacturers, 7 industrial partners and 4 research partners. FIMA network will play a vital role in the dissemination of the results widely in the industry. The research partners represent a concentration of top research institutes in the domain (Aalto, TTY, VTT, MTT)
Objectives
The objective of FAMOUS project is to achieve essential steps towards work machine automation in new safe and efficient work sites. The results will be unique in the domain giving a clear lead for the Finnish industry in the business. The results of each objective will be verified by proof of concept demonstrators.
The main results are:
- Technologies and methods for predictive awareness and safety enabling collision avoidance in complex multi-machine environments
- New automated functions improving productivity and supporting the operator (e.g. automatic approach/targeting).
- New remote control and teleoperation systems (e.g. one operator controlling several machines)
- Sensing technologies in state estimation, user detection and positioning and local environment sensing
- Novel solutions in automatic calibration and self-adaptation of the sensor systems to varying environment conditions
- Concepts and methods for adaptive safety and scalable safety functions
Scientific goals
Goal 1: New measurement technologies for environment perception and for UWB based
distance measuring
Goal 2: State estimation solution for generic mobile work machine using measurement
concepts developed within the task
Goal 3: User identification and localization in the work machine system
Goal 4: Automatic calibration and adaption methods for sensor systems
Goal 5: Situational awareness in the worksite. How existing information can be fused to the
real timesituational awareness for
machines, humans and system in order to implement new functionalities.
Goal 6: Pointing and communicating 3D-information. Methods how machine and human can
change and utilize 3D-location/position information in all environments
Goal 7: New innovative interfaces to provide assisting information and functions to machine
operator
Goal 8: Safety theoretic analysis of sliding autonomy and human-machine co-operation.
Goal 9: Concepts and methods for dynamic risk assessment in various operating modes
Goal 10: Concepts of distributed and scalable safety functions for mobile machinery to
enable the use of external information
