Débora Oliveira

I'm Doctoral Researcher at the Artificial Intelligence and Robotics Lab in the University of Technology Nuremberg under Prof. Wolfram Burgard.

I have a Master's degree in Robotics, Cognition and Intelligence from the Technical University of Munich and a Master's and Bachelor's degree in Electrical Enginnering from the Federal University of Campina Grande. I have a minor in microelectronics and a focus on computer vision and embedded systems.

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Published Papers

What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy Behavior paper preview
What do VLM-Based Vision-Language Navigation Models Rely on: Interpreting and Steering Policy Behavior
Débora Oliveira*, Samiran Gode*, Abhijeet Nayak*, Marco Hutter, Cordelia Schmid, Lukas Rosemberg Schmid, Wolfram Burgard
arXiv, 2026
TACTIC: Understanding Tactile Encoders and Conditioning for Contact-rich Robot Manipulation Policies paper preview
TACTIC: Understanding Tactile Encoders and Conditioning for Contact-rich Robot Manipulation Policies
Seongjin Bien*, Débora Oliveira*, Carlo Kneissl, Reihaneh Mirjalili, Pahnkuri Vanjani, Rudolf Lioutikov, Gitta Kutyniok, Florian Walter, Wolfram Burgard
arXiv, 2026
Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture paper preview
Norm2Tex: Augmenting Visuo-Tactile Simulations with Texture
Seongjin Bien*, Débora Oliveira*, Roberto Calandra, Florian Walter, Wolfram Burgard
arXiv, 2026
MetricNet: Recovering Metric Scale in Generative Navigation Policies paper preview
MetricNet: Recovering Metric Scale in Generative Navigation Policies
Abhijeet Nayak*, Débora Oliveira*, Samiran Gode*, Cordelia Schmid, Wolfram Burgard
Accepted to International Conference on Robotics & Automation (ICRA), 2026
FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation paper preview
FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation
Samiran Gode*, Abhijeet Nayak*, Débora Oliveira*, Cordelia Schmid, Wolfram Burgard
Accepted to International Conference on Intelligent Robots and Systems (IROS), 2025
REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation paper preview
REGRACE: A Robust and Efficient Graph-based Re-localization Algorithm using Consistency Evaluation
Débora Oliveira*, Joshua Knights*, Sebastián Barbas Laina*, Simon Boche*, Wolfram Burgard, Stefan Leutenegger
Accepted to International Conference on Intelligent Robots and Systems (IROS), 2025
Optical tracking system based on COTS components paper preview
Optical tracking system based on COTS components
Débora Oliveira*, Marcos Morais, Antonio Marcus Lima
Accepted to International Conference on Image Processing Applications and Systems (IPAS), 2022
Void detection for UAV based on optical flow and vanishing points paper preview
Void detection for UAV based on optical flow and vanishing points
Débora Oliveira*, Marcos Morais, Antonio Marcus Lima
Accepted to Brazilian Symposium on Intelligent Automation (SBAI), 2021 (Honorable Mention)

Inspired by Jon Barron