Donipolo Ghimire — accepted AI-conference papers

2026

BEASST: Behavioral Entropic Gradient Based Adaptive Source Seeking for Mobile Robots

Donipolo Ghimire, Aamodh Suresh, Carlos Nieto-Granda, Solmaz S. Kia

RA-L 2026

This paper presents BEASST (Behavioral Entropic Gradient-based Adaptive Source Seeking for Mobile Robots), a novel framework for robotic source seeking in complex, unknown environments. Our approach enables mobile robots to efficiently balance exploration and exploitation by modeling normalized sign

Cited by 1 Source ↗Scholar ↗

2024

Stein Coverage: A Variational Inference Approach to Distribution-Matching Multisensor Deployment

Donipolo Ghimire, Solmaz S. Kia

RA-L 2024

This paper addresses a spatial coverage optimization problem where multiple heterogeneous sensors are deployed in a convex environment with a known priority function. Each sensor's coverage is defined by an anisotropic spatial distribution. We introduce the Stein Coverage algorithm, a distribution-m

Cited by 6 Source ↗Scholar ↗