activity
20242026
collaborators

13 papers

cs.RO2026

TacGen: Touch Is a Necessary Dimension of Physical-World Representation -- Addressing Tactile Data Scarcity with Scalable Vision-to-Touch Alignment and Generation

Wanghao Ye, Aarosh Das, Sihan Chen +19

Touch resolves the physical-property ambiguity left by vision: exploratory contact recovers shape, texture, compliance, and material, and visuo-haptic object representations conver…

cs.RO2026

Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?

Guoheng Sun, Kaixi Feng, Shwai He +8

Vision-Language-Action (VLA) models enable instruction-driven robotic manipulation, but they inherit oversized language backbones from pretrained VLMs whose capacity far exceeds wh…

cs.RO2026

Vision-Language-Action in Robotics: A Survey of Datasets, Benchmarks, and Data Engines

Ziyao Wang, Bingying Wang, Hanrong Zhang +7

Despite remarkable progress in Vision--Language--Action (VLA) models, a central bottleneck remains underexamined: the data infrastructure that underlies embodied learning. In this…

cs.AI2025

CogniPair: From LLM Chatbots to Conscious AI Agents -- GNWT-Based Multi-Agent Digital Twins for Social Pairing -- Dating & Hiring Applications

Wanghao Ye, Sihan Chen, Yiting Wang +18

Current large language model (LLM) agents lack authentic human psychological processes necessary for genuine digital twins and social AI applications. To address this limitation, w…

cs.LG2025

MindCraft: How Concept Trees Take Shape In Deep Models

Bowei Tian, Yexiao He, Wanghao Ye +3

Large-scale foundation models demonstrate strong performance across language, vision, and reasoning tasks. However, how they internally structure and stabilize concepts remains elu…

cs.AR2025

SymRTLO: Enhancing RTL Code Optimization with LLMs and Neuron-Inspired Symbolic Reasoning

Yiting Wang, Wanghao Ye, Ping Guo +11

Optimizing Register Transfer Level (RTL) code is crucial for improving the power, performance, and area (PPA) of digital circuits in the early stages of synthesis. Manual rewriting…