The first six months of the Forecast Project have been completed with a paper submission
The FORECAST project focuses on benchmarking force control algorithms for robotic locomotion applications such as exoskeletons and humanoids. 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.
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