Online Adaptation of Visual Odometry Frontends with Image-Conditioned Reinforcement Learning

arXiv:2603.21785 · cs.CV · Submitted 2026-03-23 · Read on arXiv

cs.CV

Submitted: 2026-03-23

Updated: 2026-09-17

Terminology

Benchmark — 9× in this paper · explained in 2 episodes
Adaptation — 8× in this paper · explained in 1 episode
Accuracy — 5× in this paper · explained in 1 episode
Optical Flow — 5× in this paper · explained in 2 episodes
Reinforcement Learning — 5× in this paper · explained in 4 episodes
Robustness — 4× in this paper · explained in 5 episodes
Alignment — 3× in this paper · explained in 1 episode
Online Adaptation — 3× in this paper · explained in 3 episodes
Action Space — 2× in this paper · explained in 1 episode
Actor — 2× in this paper · explained in 3 episodes
Contextual Bandits — 2× in this paper · explained in 3 episodes
Foundation Model — 2× in this paper · explained in 3 episodes
International Conference on Robotics and Automation — 2× in this paper
Zero-Shot Transfer — 2× in this paper · explained in 4 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Feature Selection — 1× in this paper · explained in 4 episodes
Foundation Models — 1× in this paper · explained in 7 episodes
Generalization — 1× in this paper · explained in 13 episodes
Grounding — 1× in this paper · explained in 3 episodes
Interpretability — 1× in this paper · explained in 15 episodes
Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
Reinforcement Learning (RL) — 1× in this paper · explained in 25 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

TartanGround: A Large-Scale Dataset for Ground Robot Perception and Navigation

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