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On the Construction of Safe Controllable Regions for Affine Systems with
  Applications to Robotics

On the Construction of Safe Controllable Regions for Affine Systems with Applications to Robotics

IEEE Conference on Decision and Control (CDC), 2016
5 October 2016
M. Helwa
Angela P. Schoellig
ArXiv (abs)PDFHTML

Papers citing "On the Construction of Safe Controllable Regions for Affine Systems with Applications to Robotics"

4 / 4 papers shown
To Share or Not to Share? Performance Guarantees and the Asymmetric
  Nature of Cross-Robot Experience Transfer
To Share or Not to Share? Performance Guarantees and the Asymmetric Nature of Cross-Robot Experience Transfer
Michael J. Sorocky
Siqi Zhou
Angela P. Schoellig
230
8
0
29 Jun 2020
Provably Robust Learning-Based Approach for High-Accuracy Tracking
  Control of Lagrangian Systems
Provably Robust Learning-Based Approach for High-Accuracy Tracking Control of Lagrangian Systems
M. Helwa
Adam Heins
Angela P. Schoellig
134
58
0
03 Apr 2018
Multi-Robot Transfer Learning: A Dynamical System Perspective
Multi-Robot Transfer Learning: A Dynamical System Perspective
M. Helwa
Angela P. Schoellig
213
42
0
27 Jul 2017
Design of Deep Neural Networks as Add-on Blocks for Improving Impromptu
  Trajectory Tracking
Design of Deep Neural Networks as Add-on Blocks for Improving Impromptu Trajectory TrackingIEEE Conference on Decision and Control (CDC), 2017
Siqi Zhou
M. Helwa
Angela P. Schoellig
252
38
0
31 May 2017
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