Variational State-Space Models for Localisation and Dense 3D Mapping in
6 DoF

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Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF

17 June 2020

Baris Kayalibay

Patrick van der Smagt

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Papers citing "Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF"

8 / 8 papers shown

Title
GPL-SLAM: A Laser SLAM Framework with Gaussian Process Based Extended Landmarks Ali Emre Balcı Erhan Ege Keyvan Emre Özkan GP 52 0 0 22 Aug 2025
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning Ransalu Senanayake 155 11 0 06 May 2024
AgentLens: Visual Analysis for Agent Behaviors in LLM-based Autonomous Systems Jiaying Lu Bo Pan Jieyi Chen Yingchaojie Feng Jingyuan Hu Yuchen Peng Wei Chen 118 22 0 14 Feb 2024
Learning State-Space Models for Mapping Spatial Motion PatternsEuropean Conference on Mobile Robots (ECMR), 2023 Junyi Shi Tomasz Piotr Kucner 120 4 0 01 Sep 2023
Mastering Diverse Domains through World Models Danijar Hafner J. Pašukonis Jimmy Ba Timothy Lillicrap 254 773 0 10 Jan 2023
PRISM: Probabilistic Real-Time Inference in Spatial World ModelsConference on Robot Learning (CoRL), 2022 Atanas Mirchev Baris Kayalibay Ahmed Agha Patrick van der Smagt Zorah Lähner Justin Bayer VGen 110 0 0 06 Dec 2022
Tracking and Planning with Spatial World ModelsConference on Learning for Dynamics & Control (L4DC), 2022 Baris Kayalibay Atanas Mirchev Patrick van der Smagt Justin Bayer 116 4 0 25 Jan 2022
Information is Power: Intrinsic Control via Information Capture Nick Rhinehart Jenny Wang Glen Berseth John D. Co-Reyes Danijar Hafner Chelsea Finn Sergey Levine 101 10 0 07 Dec 2021

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