197 citations · 292 across the 54 of their papers we have counts for
6 papers · 1 filter
Meta-Learning for Multi-objective Reinforcement Learning
Xi Chen, Ali Ghadirzadeh, Mårten Björkman +1
Multi-objective reinforcement learning (MORL) is the generalization of standard reinforcement learning (RL) approaches to solve sequential decision making problems that consist of…
Kitting in the Wild through Online Domain Adaptation
Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci +2
Technological developments call for increasing perception and action capabilities of robots. Among other skills, vision systems that can adapt to any possible change in the working…
Deep Reinforcement Learning to Acquire Navigation Skills for Wheel-Legged Robots in Complex Environments
Xi Chen, Ali Ghadirzadeh, John Folkesson +1
Mobile robot navigation in complex and dynamic environments is a challenging but important problem. Reinforcement learning approaches fail to solve these tasks efficiently due to r…
Fusing Saliency Maps with Region Proposals for Unsupervised Object Localization
Hakan Karaoguz, Patric Jensfelt
In this paper we address the problem of unsupervised localization of objects in single images. Compared to previous state-of-the-art method our method is fully unsupervised in the…
Detection and Tracking of General Movable Objects in Large 3D Maps
Nils Bore, Johan Ekekrantz, Patric Jensfelt +1
This paper studies the problem of detection and tracking of general objects with long-term dynamics, observed by a mobile robot moving in a large environment. A key problem is that…
Multiple Object Detection, Tracking and Long-Term Dynamics Learning in Large 3D Maps
Nils Bore, Patric Jensfelt, John Folkesson
In this work, we present a method for tracking and learning the dynamics of all objects in a large scale robot environment. A mobile robot patrols the environment and visits the di…