activity
20242026
most citedOV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

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

collaborators

6 papers

cs.RO2026

Urgent Actions Go First: Urgency-Aware Denoising for Real-Time VLA Control

Zibo Wang, Haochen Han, Pengzhen Ren +2

Diffusion and flow-matching Vision-Language-Action (VLA) policies generate action chunks through iterative denoising, incurring substantial inference latency that severely limits r…

cs.CV2026

MagicSeg: Open-World Segmentation Pretraining via Counterfactural Diffusion-Based Auto-Generation

Kaixin Cai, Pengzhen Ren, Jianhua Han +4

Open-world semantic segmentation presently relies significantly on extensive image-text pair datasets, which often suffer from a lack of fine-grained pixel annotations on sufficien…

cs.RO2025

RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation

Kaidong Zhang, Rongtao Xu, Pengzhen Ren +4

Operating robots in open-ended scenarios with diverse tasks is a crucial research and application direction in robotics. While recent progress in natural language processing and la…

cs.RO2024★ 1 cited

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction

Pengzhen Ren, Min Li, Zhen Luo +15

Realizing scaling laws in embodied AI has become a focus. However, previous work has been scattered across diverse simulation platforms, with assets and models lacking unified inte…

cs.RO2024★ 1 cited

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation

Kaidong Zhang, Pengzhen Ren, Bingqian Lin +4

Language-guided robotic manipulation is a challenging task that requires an embodied agent to follow abstract user instructions to accomplish various complex manipulation tasks. Pr…

cs.CV2024★ 2 cited

OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

Hao Wang, Pengzhen Ren, Zequn Jie +8

Open-vocabulary detection is a challenging task due to the requirement of detecting objects based on class names, including those not encountered during training. Existing methods…