activity
20172026
most citedTowards High Resolution Video Generation with Progressive Growing of Sliced Wasserstein GANs

44 citations · 149 across the 130 of their papers we have counts for

collaborators
Showing cs.ROShow all

9 papers · 1 filter

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

DexNinja: Learning Robust Dexterous Cutting Policy with a Real-to-Sim-to-Real Data Engine

Haozhe Lou, Runyi Yang, Wanqi Zhong +10

Cutting a piece of food looks effortless in human hands. For a robot, however, every cut is a high-contact interaction with a deformable, elasto-plastic object whose behavior chang…

cs.RO2026

ϕ-RIE: From Photorealistic Reconstruction to Interactive Environments

Runyi Yang, Deheng Zhang, Xiaoye Wang +6

3D Gaussian Splatting (3DGS) can reconstruct a captured scene photorealistically, but the resulting representation does not by itself support physical interaction. Robot simulation…

cs.RO2026

CoRef-GS: Cooperative Referring Gaussian Splatting for Multi-Agent Scene Understanding

Zhikun Zhou, Kunyu Peng, Runyi Yang +7

Referring scene understanding for embodied robots requires grounding object- and relation-centric language queries from a designated viewpoint. While a local semantic Gaussian map…

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.RO2026

Advances and Innovations in the Multi-Agent Robotic System (MARS) Challenge

Li Kang, Heng Zhou, Xiufeng Song +41

Recent advancements in multimodal large language models and vision-languageaction models have significantly driven progress in Embodied AI. As the field transitions toward more com…