This post summarises our contributions to the research on human guidance with wearable devices. One of our recent work “Evaluation of a predictive approach in steering the human locomotion via haptic feedback”, , has been recently accepted for publication in the proceedings of 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). In this work, we consider the human as an unicycle robot, following the work by Arechavaleta , and we exploit a path following control  for generating appropriate haptic (vibrotactile) cues to be applied on the user. The task here is to follow some ideal lines, with no knowledge of them. This is just one examples of the application of the wearable haptics – in this case, with vibrotactile feedack – for human guidance.
This paper is an evolution of one of our previous works , in which we were guiding the human considering her/him inside a mixed human-robot formation, where the role of leader and follower was, in some sense, blended. Here, vibrotactile cues were used to tune the position of the human user, so that she/he was maintaining a rigid formation w.r.t. to the robot, while it was moving toward a target.
We exploited also the idea of considering the human as leader of a mixed human-robot team [5, 6]. In these cases, the haptic feedback was used to notify the user about violations of formation constraints, so that she/he could modify her/his pace and maintain the formation.
Most of our results have received funding from the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement n. 601165 of the project “WEARHAP – WEARable HAPtics for humans and robots” and under grant agreement n. 288917 of the project “DALi – Devices for Assisted Living”, and from the European Union’s Horizon 2020 research and innovation programme – Societal Challenge 1 (DG CONNECT/H) under grant agreement n. 643644 of the project “ACANTO: A CyberphysicAl social NeTwOrk using robot friends”.
 M. Aggravi, S. Scheggi, and D. Prattichizzo – Evaluation of a predictive approach in steering the human locomotion via haptic feedback – IROS, 2015 [pdf]
 G. Arechavaleta, J.-P. Laumond, H. Hicheur, and A. Berthoz – On the nonholonomic nature of human locomotion – Autonomous Robots, 2008
 C. Canudas De Wit, G. Bastin, and B. Siciliano – Theory of robot control – Chapter 9 Nonlinear Feedback Control
 S. Scheggi, M. Aggravi, F. Morbidi, and D. Prattichizzo – Cooperative human-robot haptic navigation – ICRA, 2014, [pdf]
 S. Scheggi, F. Morbidi, and D. Prattichizzo. Human-robot formation control via visual and vibrotactile haptic feedback – IEEE Trans. on Haptics, 2014, [pdf]
 S. Scheggi, F. Chinello, D. Prattichizzo. Vibrotactile haptic feedback for human-robot interaction in leader-follower tasks. In Proc. ACM Int. Conf. on PErvasive Technologies Related to Assistive Environments, PETRA ’12, Pages 1-4, 2012, [pdf]