Project Code for the paper "A Learning-based Quadcopter Controller with Extreme Adaptation"
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Updated
Sep 20, 2024 - Python
Project Code for the paper "A Learning-based Quadcopter Controller with Extreme Adaptation"
(ACM MM 2022 Workshop APCCPA) IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud Geometry Compression.
Code accompanying the AI4Space 2022 paper "Data Lifecycle Management in Evolving Input Distributions for Learning-based Aerospace Applications" by Somrita Banerjee, Apoorva Sharma, Edward Schmerling, Max Spolaor, Michael Nemerouf, and Marco Pavone.
S.T.A.R.S: Simulating Traffic Agents in Realistic Scenarios (MRSD Capstone Project at CMU)
[ICME 2022] Shadow Removal Through Learning-based Region Matching And Mapping Function Optimization
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