41 citations · 211 across the 45 of their papers we have counts for
6 papers · 1 filter
A Biologically-Inspired Computational Model of Time Perception
Inês Lourenço, Robert Mattila, Rodrigo Ventura +1
Time perception - how humans and animals perceive the passage of time - forms the basis for important cognitive skills such as decision-making, planning, and communication. In this…
Kinodynamic Motion Planning via Funnel Control for Underactuated Unmanned Surface Vehicles
Dženan Lapandić, Christos K. Verginis, Dimos V. Dimarogonas +1
We develop an algorithm to control an underactuated unmanned surface vehicle (USV) using kinodynamic motion planning with funnel control (KDF). KDF has two key components: motion p…
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning
Inês Lourenço, Andreea Bobu, Cristian R. Rojas +1
Robots have been increasingly better at doing tasks for humans by learning from their feedback, but still often suffer from model misalignment due to missing or incorrectly learned…
Optimal Transport for Correctional Learning
Rebecka Winqvist, Inês Lourenco, Francesco Quinzan +2
The contribution of this paper is a generalized formulation of correctional learning using optimal transport, which is about how to optimally transport one mass distribution to ano…
Prediction-Based Leader-Follower Rendezvous Model Predictive Control with Robustness to Communication Losses
Dženan Lapandić, Christos K. Verginis, Dimos V. Dimarogonas +1
In this paper we propose a novel distributed model predictive control (DMPC) based algorithm with a trajectory predictor for a scenario of landing of unmanned aerial vehicles (UAVs…
Interaction and Decision Making-aware Motion Planning using Branch Model Predictive Control
Rui Oliveira, Siddharth H. Nair, Bo Wahlberg
Motion planning for autonomous vehicles sharing the road with human drivers remains challenging. The difficulty arises from three challenging aspects: human drivers are 1) multi-mo…