7 papers · 1 filter
Threading Optimization for Vision-Language-Action Model Inference in Low-Cost Smart Agricultural Manipulation
Keith Truongcao, Christopher Nhu, Zijian An +3
Vision-Language Action (VLA) models continue to face challenges such as slow inference speed and difficulty performing fine-grained motion adjustments, limiting their widespread ad…
ROG-Grasp: Root-Oriented Geometry for Robotic Grasping and Placement
Zijian An, Augustus Sroka, Ran Yang +8
Orientation-aware manipulation is essential in post-harvest agricultural processing, where produce must be grasped and placed in consistent configurations. This paper presents ROG-…
VILAS: A VLA-Integrated Low-cost Architecture with Soft Grasping for Robotic Manipulation
Zijian An, Hadi Khezam, Bill Cai +5
We present VILAS, a fully low-cost, modular robotic manipulation platform designed to support end-to-end vision-language-action (VLA) policy learning and deployment on accessible h…
SeqVLA: Sequential Task Execution for Long-Horizon Manipulation with Completion-Aware Vision-Language-Action Model
Ran Yang, Zijian An, Lifeng ZHou +1
Long-horizon robotic manipulation tasks require executing multiple interdependent subtasks in strict sequence, where errors in detecting subtask completion can cascade into downstr…
CLAW: A Vision-Language-Action Framework for Weight-Aware Robotic Grasping
Zijian An, Ran Yang, Yiming Feng +1
Vision-language-action (VLA) models have recently emerged as a promising paradigm for robotic control, enabling end-to-end policies that ground natural language instructions into v…
Large Language Models for Multi-Robot Systems: A Survey
Peihan Li, Zijian An, Shams Abrar +1
The rapid advancement of Large Language Models (LLMs) has opened new possibilities in Multi-Robot Systems (MRS), enabling enhanced communication, task allocation and planning, and…
Double Oracle Algorithm for Game-Theoretic Robot Allocation on Graphs
Zijian An, Lifeng Zhou
We study the problem of game-theoretic robot allocation where two players strategically allocate robots to compete for multiple sites of interest. Robots possess offensive or defen…