Minkyu Choi, Harsh Goel, Mohammad Omama, Yunhao, Yang, Sahil Shah, and Sandeep Chinchali
European Conference on Computer Vision (ECCV), 2024 – Accepted for oral presentation!
Neuro Symbolic Video Search with Temporal Logic
PEERNet: Benchmarking Networked Robotics on Wifi, 5G, and Beyond
Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali
International Conference on Intelligent Robots and Systems (IROS), 2024.
This post introduces PEERNet, a Python package for real-time benchmarking of networked robotic systems. It provides concise and modular methods for performance analysis of the entire system stack.
Multi-Agent Reinforcement Learning with Epistemic Priors
Thayne T. Walker, Jaime S. Ide, Minkyu Choi, Michael John Guarino, and Kevin Alcedo.
International Conference on Control, Decision and Information Technologies (CoDit), 2023
The coordination of multiple autonomous agents is essential for achieving collaborative goals efficiently, especially in environments with limited communication and sensing capabilities. Our recent study, presented at CoDIT 2023, explores a novel method to tackle this challenge. We introduce Multi-Agent Reinforcement Learning with Epistemic Priors (MARL-EP), a technique that leverages shared mental models to enable high-level coordination among agents, even with severely impaired sensing and zero communication.