7 citations · 10 across the 12 of their papers we have counts for
8 papers · 1 filter
Split over resource sharing problem: Are fewer capable agents better than many simpler ones?
Karthik Soma, Mohamed S. Talamali, Genki Miyauchi +3
In multi-agent systems, should limited resources be concentrated into a few capable agents or distributed among many simpler ones? This work formulates the split over resource…
Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Maeva Guerrier, Karthik Soma, Jana Pavlasek +1
Visual Navigation Models (VNMs) promise generalizable, robot navigation by learning from large-scale visual demonstrations. Despite growing real-world deployment, existing evaluati…
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…
Guided by Guardrails: Control Barrier Functions as Safety Instructors for Robotic Learning
Maeva Guerrier, Karthik Soma, Hassan Fouad +1
Safety stands as the primary obstacle preventing the widespread adoption of learning-based robotic systems in our daily lives. While reinforcement learning (RL) shows promise as an…
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…
Congestion and Scalability in Robot Swarms: a Study on Collective Decision Making
Karthik Soma, Vivek Shankar Vardharajan, Heiko Hamann +1
One of the most important promises of decentralized systems is scalability, which is often assumed to be present in robot swarm systems without being contested. Simple limitations,…