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20222026
most citedAn Addendum to NeBula: Towards Extending TEAM CoSTAR's Solution to Larger Scale Environments

10 citations · 22 across the 8 of their papers we have counts for

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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.RO20267 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.RO202510 cited

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.RO20241 cited

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…

cs.RO2022

A Complete Set of Connectivity-aware Local Topology Manipulation Operations for Robot Swarms

Koresh Khateri, Karthik Soma, Mahdi Pourgholi +3

The topology of a robotic swarm affects the convergence speed of consensus and the mobility of the robots. In this paper, we prove the existence of a complete set of local topology…

cs.RO20222 cited

Analyze, Debug, Optimize: Real-Time Tracing for Perception and Mapping Systems in ROS 2

Pierre-Yves Lajoie, Christophe Bédard, Giovanni Beltrame

Perception and mapping systems are among the most computationally, memory, and bandwidth intensive software components in robotics. Therefore, analysis, debugging, and optimization…