11 papers
Physically Accurate Differentiable Inverse Rendering for Radio Frequency Digital Twin
Xingyu Chen, Xinyu Zhang, Kai Zheng +4
Digital twins, virtual simulated replicas of physical scenes, are transforming system design across industries. However, their potential in radio frequency (RF) systems has been li…
Capability Thresholds and Manufacturing Topology: How Embodied Intelligence Triggers Phase Transitions in Economic Geography
Xinmin Fang, Lingfeng Tao, Zhengxiong Li
The fundamental topology of manufacturing has not undergone a paradigm-level transformation since Henry Ford's moving assembly line in 1913. Every major innovation of the past cent…
InverTwin: Solving Inverse Problems via Differentiable Radio Frequency Digital Twin
Xingyu Chen, Jianrong Ding, Kai Zheng +4
Digital twins (DTs), virtual simulated replicas of physical scenes, are transforming various industries. However, their potential in radio frequency (RF) sensing applications has b…
AI's Euclid's Elements Moment: From Language Models to Computable Thought
Xinmin Fang, Lingfeng Tao, Zhengxiong Li
This paper presents a comprehensive five-stage evolutionary framework for understanding the development of artificial intelligence, arguing that its trajectory mirrors the historic…
Closer to Language than Steam: AI as the Cognitive Engine of a New Productivity Revolution
Xinmin Fang, Lingfeng Tao, Zhengxiong Li
Artificial Intelligence (AI) is reframed as a cognitive engine driving a novel productivity revolution distinct from the Industrial Revolution's physical thrust. This paper develop…
You Only Render Once: Enhancing Energy and Computation Efficiency of Mobile Virtual Reality
Xingyu Chen, Xinmin Fang, Shuting Zhang +3
Mobile Virtual Reality (VR) is essential to achieving convenient and immersive human-computer interaction and realizing emerging applications such as Metaverse. However, existing V…
Anchoring AI Capabilities in Market Valuations: The Capability Realization Rate Model and Valuation Misalignment Risk
Xinmin Fang, Lingfeng Tao, Zhengxiong Li
Recent breakthroughs in artificial intelligence (AI) have triggered surges in market valuations for AI-related companies, often outpacing the realization of underlying capabilities…
Adaptive Anomaly Recovery for Telemanipulation: A Diffusion Model Approach to Vision-Based Tracking
Haoyang Wang, Haoran Guo, Lingfeng Tao +1
Dexterous telemanipulation critically relies on the continuous and stable tracking of the human operator's commands to ensure robust operation. Vison-based tracking methods are wid…
Bio-Skin: A Cost-Effective Thermostatic Tactile Sensor with Multi-Modal Force and Temperature Detection
Haoran Guo, Haoyang Wang, Zhengxiong Li +1
Tactile sensors can significantly enhance the perception of humanoid robotics systems by providing contact information that facilitates human-like interactions. However, existing c…
Bi-directional Momentum-based Haptic Feedback and Control System for In-Hand Dexterous Telemanipulation
Haoyang Wang, Haoran Guo, He Ba +2
In-hand dexterous telemanipulation requires not only precise remote motion control of the robot but also effective haptic feedback to the human operator to ensure stable and intuit…
Data-Driven Optimization of Tactile Sensor Configurations for Efficient Dexterous Manipulation
Haoran Guo, Haoyang Wang, Zhengxiong Li +2
Tactile sensing is critical for learning-based dexterous manipulation, yet principled guidelines for sensor placement remain largely absent. While dense sensor arrays provide rich…