Modern IoT, robotics, and AR systems rely heavily on mobile sensing, yet every sensing technology has critical blind spots: cameras fail behind occlusions, RF signals lack fine resolution, and inertial sensors drift. This talk introduces new algorithms and system designs that fuse radio‑ frequency sensing with computer vision to overcome these limitations. By combining the strengths of these modalities through advanced signal processing and modeling, it enables reliable perception in environments that are cluttered, visually challenging, or fully non‑line‑of‑sight. The talk presents deployable systems that enhance automation, logistics, and human‑robot interaction. These include robots that can find and retrieve occluded or untagged items using hybrid RF‑visual sensing; AR headsets that let workers “see” through boxes and walls to locate tools and inventory; and mmWave‑based methods that provide non‑line‑of‑sight perception. Together, these capabilities unlock new efficiencies in manufacturing, warehousing, and supply chain workflows by reducing search times, increasing picking accuracy, and enabling safer, more intuitive human–machine collaboration. |
Tara Boroushaki is an Assistant Professor in Electrical & Computer Engineering at Yale University. Her research focuses on sensing and mobile technologies with applications in wireless sensing, cyber-physical and cyber-human systems. She develops algorithms and builds multi‑modal sensing systems that enable mobile, cyber‑physical, and cyber‑human platforms to connect, perceive, and interact with their environments in more efficient, robust, and capable ways. Her work has been recognized with numerous honors, including the Marconi Society Young Scholar Award, the Microsoft Research PhD Fellowship, the Best Paper Award at IEEE RFID, and Best Paper Finalist distinctions at ACM SenSys and MobiSys. Her research has been featured as one of the Top 10 AI Trends to Watch by The Wall Street Journal and highlighted among “103 ways MIT is making the world better” by MIT. It has also been covered by major news outlets such as the BBC, The Boston Globe, and the World Economic Forum. Tara has developed and demonstrated real-time, live prototypes of her systems to more than 100 companies. Her work has resulted in multiple patents that have been licensed to Cartesian Systems, a startup that has deployed the technology to address challenges in retail and supply chain industries. Before joining the faculty at Yale, she earned her master’s and PhD degrees from MIT. |
Corporate Talk Abstract – Industrial Session |
Cheil Electric introduces LifeMind CareBot, a smart care robot system that leverages radar-based sensing to monitor vital signs such as heart rate, respiration, sleep, and fall detection in real time. This webinar will showcase how non-contact radar sensors, combined with AI analysis and camera-based facial recognition, enable reliable indoor health monitoring and emotional care. The system also integrates with mobile apps and web dashboards for user and caregiver access, and can be connected to local health and welfare platforms for expanded service delivery. This presentation marks a meaningful milestone in cross-border collaboration, demonstrating how a global research institution and a Korean SME can create real technological synergy and pave the way for future joint research initiatives. |
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| The Global Industrial Technology Cooperation Center (GITCC) is a flagship program initiated by the Ministry of Trade, Industry and Energy (MOTIE) of Korea, operated by the Korea Institute for Advancement of Technology (KIAT).
Its mission is to strengthen Korea’s global industrial competitiveness by fostering R&D collaboration, technology commercialization, and workforce development with leading international partners across fields such as biotech, smart manufacturing, advanced sensors, robotics, semiconductors, and AI-driven technologies |
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| Korea- Center for Industrial Technology- Yale (KCITY) serves as an essential medium for developing international collaboration between Korean companies and Yale faculties.
KCITY supports joint R&D project development and execution in close partnership with KIAT and Korean industry leaders.KCITY was able to secure 4 joint R&D projects related to emerging sectors of industry which are AI, robotics, material sciences, biological systems, and scientific computation. |
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