activity
20242026
collaborators

8 papers

cs.CV2026

Shell-Supervised Gaussian Splatting for Urban Real-to-Sim Reconstruction

Yuan Yang, Peijun Lu, Fangzhou Lu +5

Real-to-sim reconstruction for embodied AI requires geometry that is useful for collision reasoning, navigation, and agent-environment interaction, not only photorealistic novel-vi…

cs.RO2026

TacSE3: Equivariant SE(3) Motion Estimation from Low-Texture Visuotactile Images for In-Gripper Tracking and Compensation

Zhongyuan Liao, Junzhe Wang, Qingyang Liu +6

Robotic in-hand manipulation requires reliable object-motion tracking under frequent visual occlusion, yet low-texture visuotactile images provide few stable correspondences for co…

cs.RO2026

Provably Safe Trajectory Generation for Manipulators Under Motion and Environmental Uncertainties

Fei Meng, Zijiang Yang, Xinyu Mao +2

Robot manipulators operating in uncertain and non-convex environments present significant challenges for safe and optimal motion planning. Existing methods often struggle to provid…

cs.RO2025

OpenTie: Open-vocabulary Sequential Rebar Tying System

Sai Fan, Mingze Liu, Haozhen Li +3

Robotic practices on the construction site emerge as an attention-attracting manner owing to their capability of tackling complex challenges, especially in the rebar-involved scena…

eess.SY2025

Learning-based safety lifting monitoring system for cranes on construction sites

Hao Chen, Yu Hin Ng, Ching-Wei Chang +2

Lifting on construction sites, as a frequent operation, works still with safety risks, especially for modular integrated construction (MiC) lifting due to its large weight and size…

cs.CV2025

Bird's-eye view safety monitoring for the construction top under the tower crane

Yanke Wang, Yu Hin Ng, Haobo Liang +2

The tower crane is involving more automated and intelligent operation procedure, and importantly, the application of automation technologies to the safety issues is imperative ahea…

cs.RO2025

Quantitative Hardness Assessment with Vision-based Tactile Sensing for Fruit Classification and Grasping

Zhongyuan Liao, Yipai Du, Jianghua Duan +2

Accurate estimation of fruit hardness is essential for automated classification and handling systems, particularly in determining fruit variety, assessing ripeness, and ensuring pr…

cs.RO2024

Large-scale Deployment of Vision-based Tactile Sensors on Multi-fingered Grippers

Meng Wang, Wanlin Li, Hao Liang +4

Vision-based Tactile Sensors (VBTSs) show significant promise in that they can leverage image measurements to provide high-spatial-resolution human-like performance. However, curre…