Author

Péter Karkus

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Preprint Sep 2026

Vision-Language-Action Autonomous Driving Agent with Language-based Memory

Vision-Language-Action (VLA) foundation models have recently emerged as one of the prevailing solutions for autonomous driving, as they can utilize knowledge acquired during vision-language pretraining for accurate and interpretable driving. However, VLAs can take only a limited number of frames as visual input due to...

Kai Yan, Xiang Chen, Yu-Long Cao et al. · 0 citations

Preprint Oct 2026

CtrlWAM: Controllable World Action Models with Aligned Intent and Foresight

World action models (WAMs) jointly predict actions (intent) and visual future (foresight). Standard training adds noise to recorded actions and video simultaneously, but such training paradigms introduce a mismatch: perturbed actions imply counterfactual future visual, while the noised video remains tied to the GT reco...

Chensheng Peng, Wen-Hao Ding, Ran Tian et al. · 0 citations

Preprint Sep 2026

Monkey See, Can Monkey Do? A Benchmark for Evaluating Robot Skill Learning by Observation

Learning from Observation (LfO) is a fundamental robotic capability that replicates how humans and animals socially learn from each other. Beyond its biological parallels, this modality provides a practical solution for data scaling in sample-inefficient and data-starved domains like robotics. Recent work has demonstra...

Wei-Wei Gu, Anmol Gupta, Anant Sah et al. · 0 citations