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Beyond Jacobian-based tasks: Extended set-based tasks for multi-task execution and prioritization
We propose a mathematical representation of such tasks that allows for the execution of more complex and time-varying prioritized stacks of tasks using kinematic and dynamic robot models alike.
Learning to Navigate in Turbulent Flows with Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach
This problem is made even more complex when a team of aerial robots is trying to achieve coordinated motion in turbulent wind conditions.
Resilient Task Allocation in Heterogeneous Multi-Robot Systems
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
