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20242026
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cs.RO2026

Compact Keyframe-Optimized Multi-Agent Gaussian Splatting SLAM

Monica M. Q. Li, Pierre-Yves Lajoie, Jialiang Liu +1

Efficient multi-agent 3D mapping is essential for robotic teams operating in unknown environments, but dense representations hinder real-time exchange over constrained communicatio…

cs.RO20265 cited

Multi-Robot Decentralized Collaborative SLAM in Planetary Analogue Environments: Dataset, Challenges, and Lessons Learned

Pierre-Yves Lajoie, Karthik Soma, Haechan Mark Bong +4

Decentralized collaborative simultaneous localization and mapping (C-SLAM) is essential to enable multirobot missions in unknown environments without relying on preexisting localiz…

cs.RO2025

An Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments

Ali Agha, Kyohei Otsu, Benjamin Morrell +86

This paper presents an appendix to the original NeBula autonomy solution developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), participating in the DARPA Sub…

cs.RO2024

Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)

Haechan Mark Bong, Rongge Zhang, Ricardo de Azambuja +1

This work targets what we consider to be the foundational step for urban airborne robots, a safe landing. Our attention is directed toward what we deem the most crucial aspect of t…

cs.RO2024

Hierarchies define the scalability of robot swarms

Vivek Shankar Varadharajan, Karthik Soma, Sepand Dyanatkar +2

The emerging behaviors of swarms have fascinated scientists and gathered significant interest in the field of robotics. Traditionally, swarms are viewed as egalitarian, with robots…