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20152024
most citedRobust Deep Reinforcement Learning with Adversarial Attacks

121 citations · 681 across the 31 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.RO2020★ 13 cited

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments

Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary +1

To achieve high-levels of autonomy, modern robots require the ability to detect and recover from anomalies and failures with minimal human supervision. Multi-modal sensor signals c…

cs.RO2020★ 27 cited

Asynchronous Deep Model Reference Adaptive Control

Girish Joshi, Jasvir Virdi, Girish Chowdhary

In this paper, we present Asynchronous implementation of Deep Neural Network-based Model Reference Adaptive Control (DMRAC). We evaluate this new neuro-adaptive control architectur…

cs.RO2020

Elastica: A compliant mechanics environment for soft robotic control

Noel Naughton, Jiarui Sun, Arman Tekinalp +2

Soft robots are notoriously hard to control. This is partly due to the scarcity of models able to capture their complex continuum mechanics, resulting in a lack of control methodol…

eess.SY2020

Energy Shaping Control of a CyberOctopus Soft Arm

Heng-Sheng Chang, Udit Halder, Chia-Hsien Shih +7

This paper entails application of the energy shaping methodology to control a flexible, elastic Cosserat rod model. Recent interest in such continuum models stems from applications…

math.OC2020

Centralized model predictive control with distributed adaptation

Prabhat K. Mishra, Tixian Wang, Mattia Gazzola +1

A centralized model predictive controller (MPC), which is unaware of local uncertainties, for an affine discrete time nonlinear system is presented. The local uncertainties are ass…