activity
20222026
most citedCoco-LIC: Continuous-Time Tightly-Coupled LiDAR-Inertial-Camera Odometry using Non-Uniform B-spline

36 citations · 44 across the 26 of their papers we have counts for

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Showing 2026Show all

10 papers · 1 filter

cs.AI2026

AVERT-VLN: Abstention-aware Visual Error Recovery and Training for Vision-and-Language Navigation

Minrui Liu, Jingke Wang, Yuehao Huang +4

Deploying vision-and-language navigation (VLN) agents in unseen environments remains challenging because unfamiliar layouts and visual conditions can cause execution to go off trac…

cs.RO2026

SAGE-Nav: Leveraging LLM Planning and Alignment Fusion for Hierarchical Scene Graph-Guided Navigation

Hao Su, Yuehao Huang, Yukai Ma +2

Object-Goal Navigation (ObjNav) requires embodied agents to autonomously locate specified targets using only egocentric visual observations. Existing monolithic methods struggle wi…

cs.CV2026

DriveStack-VLA: Render-Teacher Alignment for BEV-Based DeepStack Vision-Language-Action Model

Jingke Wang, Zhenru Zhao, Shuangming Lei +8

Vision-Language-Action driving models convert a pretrained Vision-Language Model into a driving policy, allowing them to use world knowledge and follow language guidances. However,…

cs.CV2026

SparseWorld: Enhancing End-to-End Autonomous Driving via World Models with Sparse Scene Representation

Ruoyu Wang, Jingke Wang, Yukai Ma +5

Recently, world models have made significant progress in enhancing end-to-end driving systems through both future situation forecasting and improved scene understanding. However, e…

cs.RO2026

Slow Brain, Fast Planner: Latency-Resilient VLM-Augmented Urban Navigation

Zhenghao "Mark'' Peng, Honglin He, Quanyi Li +2

Learning-based planners for sidewalk navigation can generate diverse candidate trajectories in real time, yet their scoring functions often fail to select the best trajectory in ch…

cs.RO2026

Monocular 3D Occupancy Perception for Robots on Sidewalks via Hybrid 2D-3D Learning

Yukai Ma, Joe Lin, Liu Liu +5

Sidewalks in the real world are crowded, cluttered, and less structured than roads, making 3D occupancy prediction a key ingredient for the safe navigation of mobile robots such as…

cs.RO2026

From Imitation to Alignment: Human-Preference Flow Policies for Long-Horizon Sidewalk Navigation

Honglin He, Zhizheng Liu, Yukai Ma +1

Autonomous long-horizon sidewalk navigation is essential for micro-mobility applications such as robotic food delivery and assistive electronic wheelchairs. Unlike autonomous drivi…

cs.CV2026

VEOcc: Voxel-Centric Online Semantic Occupancy Prediction For Embodied Scene Understanding

Ruoyu Wang, Yong Liu, Jiahan Li +3

Crucial for autonomous exploration, online 3D occupancy prediction and mapping incrementally construct dense spatial representations on the fly. Embodied online occupancy predictio…

cs.RO2026

AURA: Multimodal Shared Autonomy for Real-World Urban Navigation

Yukai Ma, Honglin He, Selina Song +2

Long-horizon navigation in complex urban environments relies heavily on continuous human operation, which leads to fatigue, reduced efficiency, and safety concerns. Shared autonomy…

cs.RO2026

Learning Sidewalk Autopilot from Multi-Scale Imitation with Corrective Behavior Expansion

Honglin He, Yukai Ma, Brad Squicciarini +2

Sidewalk micromobility is a promising solution for last-mile transportation, but current learning-based control methods struggle in complex urban environments. Imitation learning (…