53 citations · 196 across the 19 of their papers we have counts for
9 papers · 1 filter
Reformulation of Matching Equation in Potential Energy Shaping
M. Reza J. Harandi, Hamid D. Taghirad
Stabilization of an underactuated mechanical system may be accomplished by energy shaping. Interconnection and damping assignment passivity-based control is an approach based on to…
A convergence condition for Newton-Raphson method
Hassan Khandani
In this paper we study the convergence of Newton-Raphson method. For this method there exists some convergence results which are practically not very useful and just guarantee the…
A Gaussian Process-Based Ground Segmentation for Sloped Terrains
Pouria Mehrabi, Hamid D. Taghirad
A Gaussian Process GP based ground segmentation method is proposed in this paper which is fully developed in a probabilistic framework. The proposed method tends to obtain a contin…
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…
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…
Bounded Inputs Total Energy Shaping for Mechanical Systems
M. Reza J. Harandi, Amir Molaei, Hamid D. Taghirad +1
Designing control systems with bounded input is a practical consideration since realizable physical systems are limited by the saturation of actuators. The actuators' saturation de…
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…
A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars
Faraz Lotfi, Hamid D. Taghirad
Both recognition and 3D tracking of frontal dynamic objects are crucial problems in an autonomous vehicle, while depth estimation as an essential issue becomes a challenging proble…
Object Localization Through a Single Multiple-Model Convolutional Neural Network with a Specific Training Approach
Faraz Lotfi, Farnoosh Faraji, Hamid D. Taghirad
Object localization has a vital role in any object detector, and therefore, has been the focus of attention by many researchers. In this article, a special training approach is pro…