most citedLearning Disentangled Representations for Generalized Multi-view Clustering

1 citations · 1 across the 3 of their papers we have counts for

collaborators

8 papers

cs.RO2026

G2-Nav: Grounded and Guarded Vision-Language Costmaps for Robot Social Navigation

Yuwen Liao, Yihang Lan, Yizhuo Yang +4

Social navigation requires the robot to reason and respond in complex real-world environments. While recent works attempt to incorporate human-level intelligence into robot plannin…

cs.RO2026

A Deployable Embodied Vision-Language Navigation System with Hierarchical Cognition and Context-Aware Exploration

Kuan Xu, Ruimeng Liu, Yizhuo Yang +5

Bridging the gap between embodied intelligence and embedded deployment remains a key challenge in intelligent robotic systems, where perception, reasoning, and planning must operat…

cs.CV20261 cited

Learning Disentangled Representations for Generalized Multi-view Clustering

Xin Zou, Ruimeng Liu, Chang Tang +4

Multi-View Clustering (MVC) has gained significant attention for its ability to leverage complementary information across diverse views. However, existing deep MVC methods often st…

cs.RO2026

Watch Your Step: Learning Semantically-Guided Locomotion in Cluttered Environment

Denan Liang, Yuan Zhu, Ruimeng Liu +3

Although legged robots demonstrate impressive mobility on rough terrain, using them safely in cluttered environments remains a challenge. A key issue is their inability to avoid st…

cs.RO2026

Beyond Imitation: Reinforcement Learning Fine-Tuning for Adaptive Diffusion Navigation Policies

Junhe Sheng, Ruofei Bai, Kuan Xu +5

Diffusion-based robot navigation policies trained on large-scale imitation learning datasets, can generate multi-modal trajectories directly from the robot's visual observations, b…

cs.AI2026

CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification

Jinpeng Chen, Cheng Gong, Hanbo Li +9

Developing multi-turn interactive tool-use agents is challenging because real-world user needs are often complex and ambiguous, yet agents must execute deterministic actions to sat…