41 citations · 211 across the 45 of their papers we have counts for
5 papers · 1 filter
Teaching robots to perceive time -- A reinforcement learning approach (Extended version)
Inês Lourenço, Bo Wahlberg, Rodrigo Ventura
Time perception is the phenomenological experience of time by an individual. In this paper, we study how to replicate neural mechanisms involved in time perception, allowing robots…
Learning sparse linear dynamic networks in a hyper-parameter free setting
Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg
We address the issue of estimating the topology and dynamics of sparse linear dynamic networks in a hyperparameter-free setting. We propose a method to estimate the network dynamic…
Recursive Prediction of Graph Signals with Incoming Nodes
Arun Venkitaraman, Saikat Chatterjee, Bo Wahlberg
Kernel and linear regression have been recently explored in the prediction of graph signals as the output, given arbitrary input signals that are agnostic to the graph. In many rea…
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems
Robert Mattila, Inês Lourenço, Vikram Krishnamurthy +2
We consider fixed-interval smoothing problems for counter-adversarial autonomous systems. An adversary deploys an autonomous filtering and control system that i) measures our curre…
Path Planning for Autonomous Bus Driving in Urban Environments
Rui Oliveira, Pedro F. Lima, Gonçalo Collares Pereira +2
Driving in urban environments often presents difficult situations that require expert maneuvering of a vehicle. These situations become even more challenging when considering large…