Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Future Blog Post
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Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
Towards Autonomous Stratospheric Flight: A Generic Global System Identification Framework for Fixed-Wing Platforms
Published in IEEE IROS, 2018
TL;DR: Envisioning to build mathematical models of autonomous stratospheric flight.
Visual-Inertial Telepresence for Aerial Manipulation
Published in IEEE ICRA, 2020
TL;DR: First roll-out of the DLR cable-Suspended Aerial Manipulator (SAM) in outdoor environments.
Estimating Model Uncertainty of Neural Networks in Sparse Information Form
Published in ICML, 2020
TL;DR: On how Bayesian Neural Networks can scale to ImageNet size data and architecture, or even beyond.
Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Published in CoRL, 2021
TL;DR: On how Gaussian Processes can be combined with deep learning for reliable and fast uncertainty estimation.
Learning Fluid Flow Visualizations from In-Flight Images with Tufts
Published in IEEE RA-L, 2023
TL;DR: A probabilistic approach to a real-world semantic segmentation problem.
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
Published in ICML, 2023
TL;DR: Dreaming about foundational priors for approximate Bayesian inference.
Introspective Perception for Long-term Aerial Telemanipulation with Virtual Reality
Published in T-FR, 2024
TL;DR: A probabilistic approach to building a perception system for a long-term deployment in the field.
CLEVER: Stream-Based Active Learning for Robust Semantic Perception From Human Instructions
Published in IEEE RA-L, 2025
TL;DR: World-wide first implementation of stream-based active learning on a real robot.
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown file that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.