Pramod Khargonekar — accepted AI-conference papers

2026

Collaborative Task Allocation for Heterogeneous Multi-Robot Systems through Iterative Clustering

David R. Martin, Brooks A. Butler, Scott Nivison, Magnus Egerstedt, Mohammad Abdullah Al Faruque, Pramod Khargonekar

ICRA 2026poster

Multi-robot systems face the challenge of efficiently allocating teams of heterogeneous robots to tasks. The task allocation problem is complicated by collaborative interactions between robots where teams of robots develop emergent capabilities that enable them to complete tasks that would be ineffi…

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2025

Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception

Luke Chen, Junyao Wang, Trier Mortlock, Pramod Khargonekar, Mohammad Abdullah Al Faruque

CVPR 2025poster

Uncertainty Quantification (UQ) is crucial for ensuring the reliability of machine learning models deployed in real-world autonomous systems. However, existing approaches typically quantify task-level output prediction uncertainty without considering epistemic uncertainty at the multimodal feature f…

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