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20212026
most citedData-Driven Controllability Analysis and Stabilization for Linear Descriptor Systems

3 citations · 3 across the 19 of their papers we have counts for

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9 papers · 1 filter

cs.RO2026

Retrieve in Time, Correct in Frequency

Yuze Fan, Yue Cao, Pengjie Gao +7

Frozen vision-language-action (VLA) policies generate temporally extended action chunks, but long-horizon manipulation remains vulnerable to accumulated execution error and visual…

cs.CV2026

HERA: Historical Evidence Routing Adapter for Physical Prediction in Latent World Models

Yuanruyi, Yue Cao, Haojia Gao +7

Predictive video models have emerged as promising world models by learning latent visual dynamics from large-scale video. Yet these models remain challenged by physical events unde…

cs.RO2026

FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization

Yihao Wu, He Zhang, Junbo Tan +2

Post-training Vision-Language-Action (VLA) models into policies that can be reliably deployed on real robots remains a major bottleneck. SFT and DAgger exploit failure signals only…

cs.MA2026

Bridging Perception and Action: A Lightweight Multimodal Meta-Planner Framework for Robust Earth Observation Agents

Jinghui Xu, Boyi Shangguan, Mengke Zhu +10

Autonomous Earth Observation (EO) agents are transitioning from passive perception to complex, multi-step task execution. However, current architectures that integrate planning and…

cs.RO2026

RPG: Robust Policy Gating for Smooth Multi-Skill Transitions in Humanoid Fighting

Yucheng Xin, Jiacheng Bao, Yubo Dong +5

Humanoid robots have demonstrated impressive motor skills in a wide range of tasks, yet whole-body control for humanlike long-time, dynamic fighting remains particularly challengin…

cs.RO2026

Learn Weightlessness: Imitate Non-Self-Stabilizing Motions on Humanoid Robot

Yucheng Xin, Jiacheng Bao, Haoran Yang +6

The integration of imitation and reinforcement learning has enabled remarkable advances in humanoid whole-body control, facilitating diverse human-like behaviors. However, research…

cs.CV2026

PhotoAgent: A Robotic Photographer with Spatial and Aesthetic Understanding

Lirong Che, Zhenfeng Gan, Yanbo Chen +2

Embodied agents for creative tasks like photography must bridge the semantic gap between high-level language commands and geometric control. We introduce PhotoAgent, an agent that…

cs.CV2026

When to Lock Attention: Training-Free KV Control in Video Diffusion

Tianyi Zeng, Jincheng Gao, Tianyi Wang +8

Maintaining background consistency while enhancing foreground quality remains a core challenge in video editing. Injecting full-image information often leads to background artifact…

cs.RO2026

Choose What to Manipulate: Revealing Data Scaling Laws in Bounding-Box Guided Policies for Semantic Manipulation

Yihao Wu, Jinming Ma, Junbo Tan +5

Diffusion-based policies generalize poorly in semantic manipulation, a key obstacle to real-world deployment, because text-only instructions cannot reliably steer the policy toward…