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Bo-Yu Ma

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Preprint Oct 2026

DexGraspFlow: Topology-Aware SE(3) Flow Matching for Cross-Embodiment Dexterous Grasp Generation

Differences in hand geometry, joint parameterization, and kinematic topology pose challenges for cross-embodiment dexterous grasp generation. However, spatial relations among links alone are insufficient to fully capture the hand's kinematic topology. We propose DexGraspFlow, a conditional link-level $\mathrm{SE}(3)$ f...

Bin-Jia Zhou, Bo-Yu Ma, Xin-Yu Zhou et al. · 0 citations
Preprint Oct 2026

Demonstration-Based Robotic Feeding Using Dynamic Movement Primitives

A demonstration-based robotic feeding framework that integrates human demonstration, Dynamic Movement Primitive-based motion planning, vision-based scene perception, and robot control is presented and it is shown that the learned spoon motions can be reproduced within the detected experimental scene.

Kenzhi Iskandar Wong, Kitti Thamrongaphichartkul, Sri Harsha Turlapati et al. · 0 citations
Preprint Oct 2026

SimpleVLN: Towards Simple and Frontier Vision-Language Navigation

Vision-and-Language Navigation (VLN) requires embodied agents to ground language in visual observations and make long-horizon decisions. Existing methods often address these demands through task-specific architectures. As multimodal large language models (MLLMs) become increasingly capable, an important question remain...

Ling-Yi Hong, Wei-Ren Cai, Jia-Yu Chen et al. · 0 citations
#machine learning Preprint Oct 2026

CoLA: Multi-VLA Coordination via Learned Adapters

Vision-Language-Action (VLA) models are typically deployed as isolated single-agent policies. When several such agents share a workspace, they can coordinate implicitly, by observing one another, or explicitly, by exchanging messages, but it remains unclear when explicit communication becomes necessary. We introduce Co...

Ahaskar Kashyap, Jia-Wen Zong, Bo-Yu Ma et al. · 0 citations
Preprint Aug 2026

GCS-Bridging: Restoring Connectivity of Disconnected Convex Sets for Graph-of-Convex-Sets Motion Planning

Graph-of-Convex-Sets (GCS)-based trajectory optimization represents collision-free regions in configuration space as a finite collection of convex sets and directly performs collision-free trajectory planning over these sets, substantially simplifying the planning process. However, existing GCS-based trajectory plannin...

Xiao-Kai Zhou, Bao-Shi Cao, Yang Liu et al. · 0 citations
Preprint Sep 2026

Fast Plans, Faithful Actions: Closing the Planning-Execution Gap in Hierarchical Vision-Language-Action Models

Hierarchical vision-language-action (VLA) systems consist of a high-level vision-language planner and a low-level action expert that generates continuous actions. This hierarchical design has practical value only if the planner can generate plans fast enough to meet real-time control requirements, and the resulting pla...

Chuan-Liang Xie, Bo-Yu Ma, Gen Li et al. · 0 citations
Review Aug 2026

Learning Physical Interaction: A Survey of Tactile- and Force-aware Robot Learning

Physically grounded robot intelligence requires robots to perceive, reason about, and regulate their interactions with the physical world. This capability is particularly critical in contact-sensitive manipulation, where successful task execution depends not only on visual perception and motion generation, but also on...

Shilin Shan, Chu-Hao Zhou, Rui-Ze Wang et al. · 0 citations
Preprint Aug 2026

Unified Condition-Action Modeling for Accurate One-Step Action Generation

This work proposes UCA-Flow, a unified condition-action modeling framework for accurate one-step action generation that unifies observation conditions, timestep conditions, interval conditions, and action tokens into a single sequence, and processes them with a Unified Condition-Action Transformer for joint condition-a...

Xin-Yu Zhou, Zikun Cai, Kuangji Zuo et al. · 0 citations

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