most citedLearning Disentangled Representations for Generalized Multi-view Clustering

2 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.RO2026

Predict Before You Step: Auditable Occupancy Forecasting for Dynamic Obstacle Avoidance under Sparse Guidance

Yuhui Mao, Fen Liu, Shenghai Yuan +3

Legged robots under sparse waypoint guidance must avoid moving obstacles using partial, rapidly changing LiDAR observations. We present LOOP (Latent-recurrent Occupancy rollOut Pol…

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.CV2026★ 2 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…

cs.RO2025

Energy-Constrained Navigation for Planetary Rovers under Hybrid RTG-Solar Power

Tianxin Hu, Weixiang Guo, Ruimeng Liu +5

Future planetary exploration rovers must operate for extended durations on hybrid power inputs that combine steady radioisotope thermoelectric generator (RTG) output with variable…

cs.RO2025

Handle Object Navigation as Weighted Traveling Repairman Problem

Ruimeng Liu, Xinhang Xu, Shenghai Yuan +1

Zero-Shot Object Navigation (ZSON) requires agents to navigate to objects specified via open-ended natural language without predefined categories or prior environmental knowledge.…