Abhijeet Nayak — accepted AI-conference papers

2025

FlowNav: Combining Flow Matching and Depth Priors for Efficient Navigation

Samiran Gode, Abhijeet Nayak, Débora N. P. Oliveira, Michael Krawez, Cordelia Schmid, Wolfram Burgard

IROS 2025

Effective robot navigation in unseen environments is a challenging task that requires precise control actions at high frequencies. Recent advances have framed it as an image-goal-conditioned control problem, where the robot generates navigation actions using frontal RGB images. Current state-of-the-

Cited by 8 Source ↗Scholar ↗

2024

Compositional Servoing by Recombining Demonstrations

Max Argus, Abhijeet Nayak, Martin Büchner, Silvio Galesso, Abhinav Valada, Thomas Brox

ICRA 2024poster

Learning-based manipulation policies from image inputs often show weak task transfer capabilities. In contrast, visual servoing methods allow efficient task transfer in high-precision scenarios while requiring only a few demonstrations. In this work, we present a framework that formulates the visual…

Cited by 0 Source ↗Scholar ↗

2024

RaLF: Flow-based Global and Metric Radar Localization in LiDAR Maps

Abhijeet Nayak, Daniele Cattaneo, Abhinav Valada

ICRA 2024poster

Localization is paramount for autonomous robots. While camera and LiDAR-based approaches have been extensively investigated, they are affected by adverse illumination and weather conditions. Therefore, radar sensors have recently gained attention due to their intrinsic robustness to such conditions.…

Cited by 6 Source ↗Scholar ↗