activity
20192022
most citedA General Framework for Structured Learning of Mechanical Systems

13 citations · 18 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NI2022★ 1 cited

Low-latency Imaging and Inference from LoRa-enabled CubeSats

Akshay Gadre, Swarun Kumar, Zachary Manchester

Recent years have seen the rapid deployment of low-cost CubeSats in low-Earth orbit, primarily for research, education, and Earth observation. The vast majority of these CubeSats e…

cs.RO2021

Training Structured Mechanical Models by Minimizing Discrete Euler-Lagrange Residual

Kunal Menda, Jayesh K. Gupta, Zachary Manchester +1

Model-based paradigms for decision-making and control are becoming ubiquitous in robotics. They rely on the ability to efficiently learn a model of the system from data. Structured…

cs.LG2020★ 1 cited

Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM

Kunal Menda, Jean de Becdelièvre, Jayesh K. Gupta +3

System identification is a key step for model-based control, estimator design, and output prediction. This work considers the offline identification of partially observed nonlinear…

cs.RO2020★ 3 cited

Structured Mechanical Models for Robot Learning and Control

Jayesh K. Gupta, Kunal Menda, Zachary Manchester +1

Model-based methods are the dominant paradigm for controlling robotic systems, though their efficacy depends heavily on the accuracy of the model used. Deep neural networks have be…

cs.RO2019★ 13 cited

A General Framework for Structured Learning of Mechanical Systems

Jayesh K. Gupta, Kunal Menda, Zachary Manchester +1

Learning accurate dynamics models is necessary for optimal, compliant control of robotic systems. Current approaches to white-box modeling using analytic parameterizations, or blac…