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Found 3 papers, 2 papers with code
WayFAST: Navigation with Predictive Traversability in the Field
We present a self-supervised approach for learning to predict traversable paths for wheeled mobile robots that require good traction to navigate.
Strategic Maneuver and Disruption with Reinforcement Learning Approaches for Multi-Agent Coordination
Reinforcement learning (RL) approaches can illuminate emergent behaviors that facilitate coordination across teams of agents as part of a multi-agent system (MAS), which can provide windows of opportunity in various military tasks.
Distributed Mapping with Privacy and Communication Constraints: Lightweight Algorithms and Object-based Models
Our field tests show that the combined use of our distributed algorithms and object-based models reduces the communication requirements by several orders of magnitude and enables distributed mapping with large teams of robots in real-world problems.
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