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20242026
most citedWhy Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition

1 citations · 3 across the 15 of their papers we have counts for

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cs.RO2024

Investigating the Impact of Communication-Induced Action Space on Exploration of Unknown Environments with Decentralized Multi-Agent Reinforcement Learning

Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1

This paper introduces a novel enhancement to the Decentralized Multi-Agent Reinforcement Learning (D-MARL) exploration by proposing communication-induced action space to improve th…

cs.RO2024★ 1 cited

Reinforcement Learning Driven Multi-Robot Exploration via Explicit Communication and Density-Based Frontier Search

Gabriele Calzolari, Vidya Sumathy, Christoforos Kanellakis +1

Collaborative multi-agent exploration of unknown environments is crucial for search and rescue operations. Effective real-world deployment must address challenges such as limited i…

cs.RO2024

A Surface Adaptive First-Look Inspection Planner for Autonomous Remote Sensing of Open-Pit Mines

Vignesh Kottayam Viswanathan, Vidya Sumathy, Christoforos Kanellakis +1

In this work, we present an autonomous inspection framework for remote sensing tasks in active open-pit mines. Specifically, the contributions are focused towards developing a meth…

cs.RO2024★ 1 cited

Why Sample Space Matters: Keyframe Sampling Optimization for LiDAR-based Place Recognition

Nikolaos Stathoulopoulos, Vidya Sumathy, Christoforos Kanellakis +1

Recent advances in robotics are driving real-world autonomy for long-term and large-scale missions, where loop closures via place recognition are vital for mitigating pose estimati…

cs.CV2024

BOX3D: Lightweight Camera-LiDAR Fusion for 3D Object Detection and Localization

Mario A. V. Saucedo, Nikolaos Stathoulopoulos, Vidya Sumathy +2

Object detection and global localization play a crucial role in robotics, spanning across a great spectrum of applications from autonomous cars to multi-layered 3D Scene Graphs for…