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…