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Meibao Yao

7 accepted papers

2026

Beyond Success: Refining Elegant Robot Manipulation from Mixed-Quality Data via Just-in-Time Intervention

CVPR 2026

Vision-Language-Action (VLA) models have enabled notable progress in general-purpose robotic manipulation, yet their learned policies often exhibit variable execution quality. We attribute this variability to the mixed-quality nature of human demonstrations, where the implicit principles that govern

Cited by 0SourceScholar
2025

GCNT: Graph-Based Transformer Policies for Morphology-Agnostic Reinforcement Learning

IJCAI 2025

Training a universal controller for robots with different morphologies is a promising research trend, since it can significantly enhance the robustness and resilience of the robotic system. However, diverse morphologies can yield different dimensions of state space and action space, making it diffic

Cited by 0SourcePDFScholar
2024

DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D LiDAR Mapping Framework for Dynamic Environment

ICRA 2024poster

Dynamic objects diversify the distribution of point cloud in the map, degrading the performance of the robotic downstream tasks. To address this problem, we present a novel real-time dynamic instance-aware static mapping framework called DynaInsRemover, which exploits the geometric discrepancies bet…

Cited by 2SourcecodeScholar
2023

Co-optimization of Morphology and Behavior of Modular Robots via Hierarchical Deep Reinforcement Learning

RSS 2023poster

Modular robots hold the promise of changing their shape and even dimension to adapt to various tasks and environments. To realize this superiority, it is essential to find the appropriate morphology and its corresponding behavior simultaneously to ensure optimality of the reconfiguration. However, a…

Cited by 11SourcePDFScholar
2020

An Actuation Fault Tolerance Approach to Reconfiguration Planning of Modular Self-folding Robots

ICRA 2020poster

This paper presents a novel approach to fault tolerant reconfiguration of modular self-folding robots. Among various types of faults that probably occur in the modular system, we focus on the tolerance of complete actuation failure of active modules that might cause imprecise robotic motion and even…

Cited by 6SourceScholar
2018

Towards Peak Torque Minimization for Modular Self-Folding Robots

IROS 2018poster

Modular self-folding robots are versatile systems that can change their own shape from two-dimensional patterns at instant commands. This reconfigurability is commonly restrained by power limitation in autonomous environments, The robotic systems with insufficient torque may lead to inaccurate movem…

Cited by 7SourceScholar