3 accepted papers
Transparent liquid manipulation in robotic pouring remains challenging for perception systems: specular/refraction effects and lighting variability degrade visual cues, undermining reliable level estimation. To address this challenge, we introduce RadarEye, a real-time mmWave radar signal processing…
We consider the problem of real-time liquid-level estimation for closed-loop robotic pouring. To this end, we propose a fast-slow architecture where a Vision-Language Model handles high-level task reasoning and a sensor-driven fast system provides low-latency feedback. As a first instantiation of th…
Intelligent reflecting surfaces (IRS) is a novel integrated sensing and communication technology that can manipulate the propagation of wireless signals. However, existing IRS-based sensing systems require directional antennas for signal transmission, incompatible with commercial WiFi devices. This…