activity
20242026
most citedReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.RO2026

LADDER: A Long-Horizon Robot Manipulation Benchmark

Petko Petkov, Giuliano Albanese, Nikolay Nikolov +3

General-purpose robot manipulation policies learn short-horizon skills effectively, but degrade rapidly on long-horizon tasks. Existing benchmarks cannot isolate failures because t…

cs.RO2026

AR-VLA: True Autoregressive Action Expert for Vision-Language-Action Models

Yutong Hu, Jan-Nico Zaech, Nikolay Nikolov +6

We propose a standalone autoregressive (AR) Action Expert that generates actions as a continuous causal sequence while conditioning on refreshable vision-language prefixes. In cont…

cs.RO2025

SPEAR-1: Scaling Beyond Robot Demonstrations via 3D Understanding

Nikolay Nikolov, Giuliano Albanese, Sombit Dey +4

Robotic Foundation Models (RFMs) hold great promise as generalist, end-to-end systems for robot control. Yet their ability to generalize across new environments, tasks, and embodim…

cs.RO2025

Generalist Robot Manipulation beyond Action Labeled Data

Alexander Spiridonov, Jan-Nico Zaech, Nikolay Nikolov +2

Recent advances in generalist robot manipulation leverage pre-trained Vision-Language Models (VLMs) and large-scale robot demonstrations to tackle diverse tasks in a zero-shot mann…

cs.CV2024★ 2 cited

ReVLA: Reverting Visual Domain Limitation of Robotic Foundation Models

Sombit Dey, Jan-Nico Zaech, Nikolay Nikolov +2

Recent progress in large language models and access to large-scale robotic datasets has sparked a paradigm shift in robotics models transforming them into generalists able to adapt…