research
∙
09/03/2023
Learning-Aware Safety for Interactive Autonomy
One of the outstanding challenges for the widespread deployment of robot...
share
research
∙
04/05/2023
Emergent Coordination through Game-Induced Nonlinear Opinion Dynamics
We present a multi-agent decision-making framework for the emergent coor...
research
∙
10/03/2022
Online Update of Safety Assurances Using Confidence-Based Predictions
Robots such as autonomous vehicles and assistive manipulators are increa...
research
∙
09/29/2022
Parameter-Conditioned Reachable Sets for Updating Safety Assurances Online
Hamilton-Jacobi (HJ) reachability analysis is a powerful tool for analyz...
research
∙
08/03/2022
Decentralized Learning With Limited Communications for Multi-robot Coverage of Unknown Spatial Fields
This paper presents an algorithm for a team of mobile robots to simultan...
research
∙
10/02/2021
SHARP: Shielding-Aware Robust Planning for Safe and Efficient Human-Robot Interaction
Jointly achieving safety and efficiency in human-robot interaction (HRI)...
research
∙
05/01/2021
Stabilization of generative adversarial networks via noisy scale-space
Generative adversarial networks (GAN) is a framework for generating fake...
research
∙
12/21/2020
Regularization in neural network optimization via trimmed stochastic gradient descent with noisy label
Regularization is essential for avoiding over-fitting to training data i...
research
∙
04/14/2020
Stochastic batch size for adaptive regularization in deep network optimization
We propose a first-order stochastic optimization algorithm incorporating...
research
∙
07/21/2019
Adaptive Weight Decay for Deep Neural Networks
Regularization in the optimization of deep neural networks is often crit...
research
∙
11/20/2017
