no code implementations • 24 Oct 2023 • Gennaro Notomista, Mario Selvaggio, María Santos, Siddharth Mayya, Francesca Pagano, Vincenzo Lippiello, Cristian Secchi
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.
no code implementations • 7 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.
no code implementations • 9 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