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DTSTART;TZID=America/New_York:20250506T140000
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CREATED:20250425T200924Z
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UID:14012-1746540000-1746547200@seasevents.nmsdev7.com
SUMMARY:Spring 2025 Robotics MSE Thesis and Capstone Lightning Talks and Poster Session
DESCRIPTION:This is an in-person event with in-person attendance in Wu and Chen Auditorium for Lightning Talks and Levine Lobby for Poster Session.  \nThis year we will have an “Audience Choice” for best Lightning Talk and Poster. Please be sure to vote for your favorite! Voting will take place during the Poster Session using a QR code. \n2:00pm – Lightning Talks \nWelcome Remarks\nDr. Cynthia Sung – ROBO Program Chair \nRahul Aggarwal\nAdvised By: Dr. Rahul Mangharam\nGeneralizable Visual Prediction Via Disentangled Diffusion \n  \n  \n  \n  \n  \n  \n \nJack Campanella\nAdvised By: Dr. Vijay Kumar\nIntegrated Hardware and Software Codesign for Controlling Underactuated Aerial Robots \n  \n  \n  \n  \n  \n  \nSatrajit Chatterjee\nAdvised By: Dr. Rahul Mangharam\nWorld Modeling via Sparse Conditioning of Temporal Context \n  \n  \n  \n  \n  \n  \nMichaela Feehery\nAdvised By: Dr. Eric Eaton\nEvent-Based Respiration Detection for Autonomous Robotic Triage \n  \n  \n  \n  \n  \n  \nGeorge Gao\nAdvised By: Dr. Nadia Figueroa\nOCR: Out-of-Distribution Recovery with Object-Centric Keypoint Inverse Policy for Visuomotor Imitation Learning \n  \n  \n  \n  \n  \n  \nFrank Gonzalez\nAdvised By: Dr. Vijay Kumar\nRisk-aware MPC Planning for Unmanned Ground Vehicles \n  \n  \n  \n  \n  \n  \nPei-An Hsieh\nAdvised By: Dr. Ani Hsieh\nStable and Robust Tight Formation Flights of Quadrotors with MPC \n  \n  \n  \n  \n  \n  \nRoyina Jayanth\nAdvised By: Dr. Kostas Daniilidis\nExploring Generalization and Robustness of Neural Inertial Odometry \n  \n  \n  \n  \nAlexander Kyimpopkin\nAdvised By: Dr. Pratik Chaudhari\nMagic-8-Ball: World Models for Vision-Based Quadruped Path Planning \n  \n  \n  \n  \n  \n  \nSanghyub Lee\nAdvised By: Dr. Nadia Figueroa\nHuman-Robot Interactive Muscle-in-the-loop Upper Limb Training Using Real-time Muscle Dynamics Tracking via AI-driven Wearable Ultrasound Processing \n  \n  \n  \n  \n  \nRuirui Ma\nAdvised By: Dr. Linh Thi Xuan Phan\nConnectivity Constrained Multi-Robot Sparse Coverage \n  \n  \n  \n  \n  \n  \nLee Milburn\nAdvised By: Dr. Rahul Mangharam\nCluster-Funk: Clustering for Friction Estimation Under Nonlinear Knowledge \n  \n  \n  \n  \n  \n  \nEmily Paul\nAdvised By: Dr. Vijay Kumar\nMulti-Agent Reinforcement Learning with Reward Shaping for Coverage Control \n  \n  \n  \n  \n  \n  \nNishanth Rao\nAdvised By: Dr. Kostas Daniilidis and Dr. Vijay Kumar\nExploring Symmetries and Equivariance in Robot Learning \n  \n  \n  \n  \n  \n  \nHungju Wang\nAdvised By: Dinesh Jayaraman\nFoundation Models for Realworld Robotics \n  \n  \n  \n  \n  \n  \n   \nBrice Diomande\, Chris Lee\, Henry Licht\nAdvised By Ani Hsieh\nSponsored By: Saint Gobain CertainTeed\nAutonomous Mobile Robot for Installing Blown-In Insulation \n2:30pm – Poster Session in Levine Lobby \n4:00pm – Awards for Best Lightning Talk and Poster Announced \n 
URL:https://seasevents.nmsdev7.com/event/spring-2025-robotics-mse-thesis-and-capstone-lightning-talks-and-poster-session/
LOCATION:Wu & Chen Auditorium
CATEGORIES:Seminar
ORGANIZER;CN="General Robotics%2C Automation%2C Sensing and Perception (GRASP) Lab":MAILTO:grasplab@seas.upenn.edu
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