The first six months of the Forecast Project have been completed


The FORECAST project focuses on benchmarking force control algorithms for robotic locomotion applications such as exoskeletons and humanoids.

Force control algorithms allow robots to adapt their movements to the surrounding environment and to delicately (softly) interact with humans. This characteristic is fundamental in the increasingly frequent scenarios of collaboration between human and robot (eg rehabilitative or assistive robotics) or in the case of uncertain environments (eg disaster recovery).

As a result, tools will be developed to help robot designers choose the best force control algorithms and to define standardized metrics for their evaluation.

The FORECAST project is funded by the European Union, Horizon 2020 research and innovation programme, through an Open Call issued by the EUROBENCH Project.
The project is in collaboration with the following partners: the Spanish Council for Scientific Research Consejo Superior de Investigaciones Científicas (CSIC) and the Italian Institute of Technology Istituto Italiano di Tecnologia (IIT) in Genoa.


Starting date: 22 March 2019
Duration: 20 months
Official link:
ALTAIR Team: Andrea Calanca, Enrico sartori, Guglielmo Zanni, Noè Murr, Rudy Vicario

Submitted paper: “Actuation selection for assistive exoskeletons: matching capabilities to task requirements” by Andrea Calanca, Stefano Toxiri, Davide Costanzi, Enrico Sartori, Tommaso Poliero, Christian Di Natali, Darwin G. Caldwell, Paolo Fiorini, Jesús Ortiz as a regular paper to the IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Actuator and Environment modelling
Physical testbench