activity
20232026
most citedMulti-Modal MPPI and Active Inference for Reactive Task and Motion Planning

12 citations · 12 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Geometry-Constrained Bidirectional Point Cloud Registration for Thin, Sheet-Like Heritage Artifacts

Yuezhe Zhang, Lei Wei, Jingnan Du +1

Non-contact three-dimensional reconstruction of thin, sheet-like heritage artifacts poses significant geometric and registration challenges. Due to their fragility, these artifacts…

cs.RO2026

Sequential Object Placement Optimization with Convex Decomposition

Yuezhe Zhang, Xiangyu Lyu, Sohan Rudra +2

Robotic object packing has been a core challenge for robotic deployment in logistics, industry, etc., due to the curse of dimensionality in combinatorial search and the difficulty…

cs.CV2026

An Object-Centered Data Acquisition Method for 3D Gaussian Splatting using Mobile Phones

Yuezhe Zhang, Luqian Bai, Mengting Yu +3

Data acquisition through mobile phones remains a challenge for 3D Gaussian Splatting (3DGS). In this work we target the object-centered scenario and enable reliable mobile acquisit…

cs.CV2026

Objective Quality Assessment of Point Clouds Using Multi-scale Implicit Structural Similarity

Zhang Chen, Shuai Wan, Yuezhe Zhang +3

The unstructured and irregular nature of points poses a significant challenge for accurate point cloud quality assessment (PCQA), particularly in establishing accurate perceptual f…

cs.RO2025

Adaptive Diffusion Constrained Sampling for Bimanual Robot Manipulation

Haolei Tong, Yuezhe Zhang, Sophie Lueth +1

Coordinated multi-arm manipulation requires satisfying multiple simultaneous geometric constraints across high-dimensional configuration spaces, which poses a significant challenge…

cs.RO2023★ 12 cited

Multi-Modal MPPI and Active Inference for Reactive Task and Motion Planning

Yuezhe Zhang, Corrado Pezzato, Elia Trevisan +3

Task and Motion Planning (TAMP) has made strides in complex manipulation tasks, yet the execution robustness of the planned solutions remains overlooked. In this work, we propose a…