Ehsan Zahedi — accepted AI-conference papers

2017

Gesture-Based Adaptive Haptic Guidance: A Comparison of Discriminative and Generative Modeling Approaches

Ehsan Zahedi, Javad Dargahi, Michael Kia, Mehrdad Zadeh

RA-L 2017

This paper investigates the incorporation of hidden conditional random fields (HCRF) as a discriminative statistical modeling technique into adaptive haptic guidance (HG) for physical human-robot interaction (pHRI). In this gesture-based HG approach, the knowledge and experience of experts are model

Cited by 9 Source ↗Scholar ↗

2015

A novel MPC approach to optimize force feedback for human-robot shared control

Ali Safavi, Loi Huynh, Hadi Rahmat-Khah, Ehsan Zahedi, Mehrdad H. Zadeh

IROS 2015poster

One of the challenging problems in human-robot shared control is the algorithms for force rendering due to uncertain human behavior. Common adaptive and optimal control techniques may not be readily applied to a number of popular haptic devices, since the required state space models are not availabl…

Cited by 7 Source ↗Scholar ↗