2 citations · 2 across the 3 of their papers we have counts for
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cs.RO2026
GIANT - Global Path Integration and Attentive Graph Networks for Multi-Agent Trajectory Planning
Jonas le Fevre Sejersen, Toyotaro Suzumura, Erdal Kayacan
This paper presents a novel approach to multi-robot collision avoidance that integrates global path planning with local navigation strategies, utilizing attentive graph neural netw…
cs.RO2021
Real-Time Volumetric-Semantic Exploration and Mapping: An Uncertainty-Aware Approach
Rui Pimentel de Figueiredo, Jonas le Fevre Sejersen, Jakob Grimm Hansen +2
In this work we propose a holistic framework for autonomous aerial inspection tasks, using semantically-aware, yet, computationally efficient planning and mapping algorithms. The s…