11/8 1:00 PM WPI Women's Volleyball vs Salve Regina
Saturday, November 8, 2025 1:00–3:00 PM
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- Nov 128:00 AMTIAA Consultant - Individual Employee Meetings - Wednesday, November 12, 2025Have questions regarding your retirement with WPI? Meet with a representative from TIAA and discuss 1:1 with them your retirement options. All meetings are confidential. All individuals are required to register beforehand.
- Nov 1212:15 PMMindful WednesdaysLooking for a way to make your day less stressful and more mindful...take some much-needed time for yourself and join us for Mindful Wednesdays! Drop-in meditation sessions are open to the entire WPI community, and no experience is necessary. A certified meditation teacher will offer guided meditations appropriate for both beginners as well as experienced meditators. People can join in person or via zoom.
- Nov 1311:00 AMRobotics Engineering Capstone Presentation - Manoj VelmuruganSaranga: milliWatt Ultrasound System for 3D Navigation in Visually Degraded Environments Abstract: Tiny autonomous aerial robots face severe limitations in sensing capability due to payload and power constraints, making robust 3D navigation in visually degraded environments extremely challenging. In this work, we propose Saranga, a lightweight, low-power ultrasonic 3D obstacle localization stack for aerial robots. Propellers generate ultrasonic noise that limits the efficacy of ultrasound systems on aerial platforms, for which I proposed a two-step solution: (1) a physical acoustic shield that mitigates propeller noise, and (2) a deep neural network that denoises echoes and estimates obstacle positions by reconstructing the impulse response of the scene. This talk will focus on the sensor suite configuration, denoising technique, synthetic data generation process, and the 3D trilateration method, along with comparisons against classical denoising and edge detection techniques. We demonstrate that the system enables reliable operation under low light, fog, transparent obstacles, and snow—conditions where conventional sensing modalities such as cameras, LiDAR, and radar fail—paving the way for robust all-weather perception in tiny aerial robots.Advisor: Professor Nitin SantekZoom link: https://wpi.zoom.us/my/vmanoj1996


