activity
20182022
most citedExtension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning

2 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2022

Robust Learning of Nonlinear Dynamical Systems with Safety and Stability Properties

Iman Salehi, Ghananeel Rotithor, Ashwin P. Dani

The paper presents a robust parameter learning methodology for identification of nonlinear dynamical system from data while satisfying safety and stability constraints in the conte…

eess.SY2021

Discrete-Time Nonlinear Systems Identification with Probabilistic Safety and Stability Constraints

Iman Salehi, Tyler Taplin, Ashwin P. Dani

This paper presents a discrete-time nonlinear system identification method while satisfying the stability and safety properties of the system with high probability. An Extreme Lear…

cs.RO2021

Stitching Dynamic Movement Primitives and Image-based Visual Servo Control

Ghananeel Rotithor, Iman Salehi, Edward Tunstel +1

Utilizing perception for feedback control in combination with Dynamic Movement Primitive (DMP)-based motion generation for a robot's end-effector control is a useful solution for m…

eess.SY2020★ 2 cited

Extension of Full and Reduced Order Observers for Image-based Depth Estimation using Concurrent Learning

Ghananeel Rotithor, Daniel Trombetta, Rushikesh Kamalapurkar +1

In this paper concurrent learning (CL)-based full and reduced order observers for a perspective dynamical system (PDS) are developed. The PDS is a widely used model for estimating…

cs.RO2020

Shape Estimation for Elongated Deformable Object using B-spline Chained Multiple Random Matrices Model

Gang Yao, Ryan Saltus, Ashwin Dani

In this paper, a B-spline chained multiple random matrices representation is proposed to model geometric characteristics of an elongated deformable object. The hyper degrees of fre…

eess.IV2018★ 2 cited

Image Moment Models for Extended Object Tracking

Gang Yao, Ashwin Dani

In this paper, a novel image moments based model for shape estimation and tracking of an object moving with a complex trajectory is presented. The camera is assumed to be stationar…

eess.IV2018

Visual Tracking Using Sparse Coding and Earth Mover's Distance

Gang Yao, Ashwin Dani

An efficient iterative Earth Mover's Distance (iEMD) algorithm for visual tracking is proposed in this paper. The Earth Mover's Distance (EMD) is used as the similarity measure to…