3 citations · 5 across the 3 of their papers we have counts for
3 papers
Deep Functional Predictive Control for Strawberry Cluster Manipulation using Tactile Prediction
Kiyanoush Nazari, Gabriele Gandolfi, Zeynab Talebpour +3
This paper introduces a novel approach to address the problem of Physical Robot Interaction (PRI) during robot pushing tasks. The approach uses a data-driven forward model based on…
Proactive slip control by learned slip model and trajectory adaptation
Kiyanoush Nazari, Willow Mandil, Amir Ghalamzan E
This paper presents a novel control approach to dealing with object slip during robotic manipulative movements. Slip is a major cause of failure in many robotic grasping and manipu…
Action Conditioned Tactile Prediction: case study on slip prediction
Willow Mandil, Kiyanoush Nazari, Amir Ghalamzan E
Tactile predictive models can be useful across several robotic manipulation tasks, e.g. robotic pushing, robotic grasping, slip avoidance, and in-hand manipulation. However, availa…