Towards a human-robot collaborative control for adjustable autonomy. - Stéphane Zieba; Philippe Polet; David Jouglet; Frédéric Vanderhaegen (IFAC HMS, 2007)

A reinforced iterative formalism to learn from human errors and uncertainty. - Frédéric Vanderhaegen; Philippe Polet; Stéphane Zieba (Eng. Appl. Artif. Intell., 2009)

Contribution à la résilience d'un système coopératif Homme-robot par une gestion de l'autonomie ajustable. (Contribution to the resilience of a cooperative human-robot system by a management of the adjustable autonomy). - Stéphane Zieba (2009)

An iterative learning system to learn from human errors in transport systems. - Philippe Polet; Frédéric Vanderhaegen; Stéphane Zieba (IFAC HMS, 2010)

Resilience engineering by the management of affordances - Application to intelligent transport systems. - Stéphane Zieba; Toshiyuki Inagaki; Frédéric Vanderhaegen (IFAC HMS, 2010)

Towards learning processes in a resilient human-machine system. - Stéphane Zieba; Frédéric Vanderhaegen; Philippe Polet (IFAC HMS, 2010)

Principles of adjustable autonomy: a framework for resilient human-machine cooperation. - Stéphane Zieba; Philippe Polet; Frédéric Vanderhaegen; Serge Debernard (Cogn. Technol. Work., 2010)

Using adjustable autonomy and human-machine cooperation to make a human-machine system resilient - Application to a ground robotic system. - Stéphane Zieba; Philippe Polet; Frédéric Vanderhaegen (Inf. Sci., 2011)

A Benefit/Cost/Deficit (BCD) model for learning from human errors. - Frédéric Vanderhaegen; Stéphane Zieba; Simon Enjalbert; Philippe Polet (Reliab. Eng. Syst. Saf., 2011)

Iterative learning control based tools to learn from human error. - Philippe Polet; Frédéric Vanderhaegen; Stéphane Zieba (Eng. Appl. Artif. Intell., 2012)

Reinforced learning systems based on merged and cumulative knowledge to predict human actions. - Frédéric Vanderhaegen; Stéphane Zieba (Inf. Sci., 2014)