collaborators

7 papers

cs.RO2026

An Edge-Host-Cloud Architecture for Robot-Agnostic, Caregiver-in-the-Loop Personalized Cognitive Exercise: Multi-Site Deployment in Dementia Care

Wenzheng Zhao, Ruth Palan Lopez, Shu Fen Wung +1

We present Speaking Memories, a distributed, stakeholder-in-the-loop robotic interaction platform for personalized cognitive exercise support. Rather than a single robot-centric sy…

cs.RO2026

Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control

Zelin Tao, Zeran Su, Peiran Liu +13

Achieving general-purpose humanoid control requires a delicate balance between the precise execution of commanded motions and the flexible, anthropomorphic adaptability needed to r…

cs.CV2026

SafeScreen: A Safety-First Screening Framework for Personalized Video Retrieval for Vulnerable Users

Wenzheng Zhao, Madhava Kalyan Gadiputi, Fengpei Yuan

Open-domain video platforms offer rich, personalized content that could support health, caregiving, and educational applications, but their engagement-optimized recommendation algo…

cs.RO2026

Bridging the Awareness Gap: Socially Mediated State Externalization for Transparent Distributed Home Robots

Wenzheng Zhao, Manideep Duggi, Fengpei Yuan

Distributed multi-robot systems for the home often require robots to operate out of the user's sight, creating a state awareness gap that can diminish trust and perceived transpare…

cs.CV2026

VisionCreator: A Native Visual-Generation Agentic Model with Understanding, Thinking, Planning and Creation

Jinxiang Lai, Zexin Lu, Jiajun He +11

Visual content creation tasks demand a nuanced understanding of design conventions and creative workflows-capabilities challenging for general models, while workflow-based agents l…

cs.AI2026

LLMs for High-Frequency Decision-Making: Normalized Action Reward-Guided Consistency Policy Optimization

Yang Zhao, Zihao Li, Zhiyu Jiang +3

While Large Language Models (LLMs) form the cornerstone of sequential decision-making agent development, they have inherent limitations in high-frequency decision tasks. Existing r…