Siddharth Mayya

Orcid: 0000-0001-5168-413X

According to our database1, Siddharth Mayya authored at least 28 papers between 2015 and 2023.

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Bibliography

2023
Learning to Navigate in Turbulent Flows With Aerial Robot Swarms: A Cooperative Deep Reinforcement Learning Approach.
IEEE Robotics Autom. Lett., July, 2023

Controlling Collision-Induced Aggregations in a Swarm of Micro Bristle Robots.
IEEE Trans. Robotics, February, 2023

Beyond Jacobian-based tasks: Extended set-based tasks for multi-task execution and prioritization.
CoRR, 2023

Multi-Robot Coordination and Cooperation with Task Precedence Relationships.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multirobot Systems.
IEEE Trans. Robotics, 2022

Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors.
IEEE Robotics Autom. Lett., 2022

Coverage Control in Multi-Robot Systems via Graph Neural Networks.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

What Can Robots Teach Us About The COVID-19 Pandemic? Interactive Demonstrations of Epidemiological Models Using a Swarm of Brushbots.
Proceedings of the International IEEE Conference on Advanced Robotics and Its Social Impactsm, 2022

2021
The Robotarium: Automation of a Remotely Accessible, Multi-Robot Testbed.
IEEE Robotics Autom. Lett., 2021

Resilient Task Allocation in Heterogeneous Multi-Robot Systems.
IEEE Robotics Autom. Lett., 2021

A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems.
CoRR, 2021

Adaptive and Risk-Aware Target Tracking with Heterogeneous Robot Teams.
CoRR, 2021

2020
Interactive Multi-Robot Painting Through Colored Motion Trails.
Frontiers Robotics AI, 2020

Resilient Task Allocation in Heterogeneous Multi-Robot Systems.
CoRR, 2020

A Set-Theoretic Approach to Multi-Task Execution and Prioritization.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Localization in Densely Packed Swarms Using Interrobot Collisions as a Sensing Modality.
IEEE Trans. Robotics, 2019

Closed-loop task allocation in robot swarms using inter-robot encounters.
Swarm Intell., 2019

Achieving Non-Uniform Densities in Vibration Driven Robot Swarms Using Phase Separation Theory.
CoRR, 2019

Decentralized Minimum-Energy Coverage Control for Time-Varying Density Functions.
Proceedings of the 2019 International Symposium on Multi-Robot and Multi-Agent Systems, 2019

A Study of a Class of Vibration-Driven Robots: Modeling, Analysis, Control and Design of the Brushbot.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Voluntary Retreat for Decentralized Interference Reduction in Robot Swarms.
Proceedings of the International Conference on Robotics and Automation, 2019

An Optimal Task Allocation Strategy for Heterogeneous Multi-Robot Systems.
Proceedings of the 17th European Control Conference, 2019

2017
Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations.
Proceedings of the Robotics: Science and Systems XIII, 2017

Safe open-loop strategies for handling intermittent communications in multi-robot systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015
Control system design to counter the effect of tether ejection system on a nano-satellite.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

Dynamics and control system design of a polar low-earth orbit nano-satellite 'Parikshit'.
Proceedings of the 2015 International Conference on Advances in Computing, 2015


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