activity
20182022
most citedDynamic Models of Spherical Parallel Robots for Model-Based Control Schemes

4 citations · 6 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG2022

A Segment-Wise Gaussian Process-Based Ground Segmentation With Local Smoothness Estimation

Pouria Mehrabi, Hamid D. Taghirad

Both in terrestrial and extraterrestrial environments, the precise and informative model of the ground and the surface ahead is crucial for navigation and obstacle avoidance. The g…

cs.RO20214 cited

Dynamic Models of Spherical Parallel Robots for Model-Based Control Schemes

Ali Hassani, Abbas Bataleblu, S. A. Khalilpour +2

In this paper, derivation of different forms of dynamic formulation of spherical parallel robots (SPRs) is investigated. These formulations include the explicit dynamic forms, line…

cs.LG2021

A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation

Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad +1

The incremental poses computed through odometry can be integrated over time to calculate the pose of a device with respect to an initial location. The resulting global pose may be…

cs.CV20211 cited

Single Object Tracking through a Fast and Effective Single-Multiple Model Convolutional Neural Network

Faraz Lotfi, Hamid D. Taghirad

Object tracking becomes critical especially when similar objects are present in the same area. Recent state-of-the-art (SOTA) approaches are proposed based on taking a matching net…

cs.CV20201 cited

Exploring Self-Attention for Visual Odometry

Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad

Visual odometry networks commonly use pretrained optical flow networks in order to derive the ego-motion between consecutive frames. The features extracted by these networks repres…

cs.LG2020

ARC-Net: Activity Recognition Through Capsules

Hamed Damirchi, Rooholla Khorrambakht, Hamid Taghirad

Human Activity Recognition (HAR) is a challenging problem that needs advanced solutions than using handcrafted features to achieve a desirable performance. Deep learning has been p…