1 citations · 1 across the 3 of their papers we have counts for
8 papers
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…
The Hive Mind is a Single Reinforcement Learning Agent
Karthik Soma, Yann Bouteiller, Heiko Hamann +1
Decision-making is an essential attribute of any intelligent agent or group. Natural systems are known to converge to effective strategies through at least two distinct mechanisms:…
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…
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…
The Heterogeneous Multi-Agent Challenge
Charles Dansereau, Junior-Samuel Lopez-Yepez, Karthik Soma +1
Multi-Agent Reinforcement Learning (MARL) is a growing research area which gained significant traction in recent years, extending Deep RL applications to a much wider range of prob…
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…