Search Results for author: David Saldaña

Found 2 papers, 0 papers with code

Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach

no code implementations7 Jun 2023 Diego Patiño, Siddharth Mayya, Juan Calderon, Kostas Daniilidis, David Saldaña

This problem is made even more complex when a team of aerial robots is trying to achieve coordinated motion in turbulent wind conditions.

Navigate

Resilient Task Allocation in Heterogeneous Multi-Robot Systems

no code implementations9 Sep 2020 Siddharth Mayya, Diego S. D'antonio, David Saldaña, Vijay Kumar

For a multi-robot system equipped with heterogeneous capabilities, this paper presents a mechanism to allocate robots to tasks in a resilient manner when anomalous environmental conditions such as weather events or adversarial attacks affect the performance of robots within the tasks.

Multiagent Systems Robotics

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