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Siddharth Mayya

15 accepted papers

2024

Performing Efficient and Safe Deformable Package Transport Operations Using Suction Cups

IROS 2024poster

Suction cups are popular for picking and transporting packages in warehouse applications. To maximize throughput, high transport speeds are desired. Many packages are deformable and may detach from the suction cups due to inertial loading if trajectories use excessive velocities. This paper introduc…

Cited by 3SourceScholar
2024

Simulation-Assisted Learning for Efficient Bin-Packing of Deformable Packages in a Bimanual Robotic Cell

IROS 2024poster

Bin-packing is an important problem in the robotic warehouse domain. Traditionally, this problem has been studied only for rigid packages (e.g., boxes or rigid objects). In this work, we tackle the problem of bin-packing with deformable packages that have become a popular choice for fulfillment need…

Cited by 1SourceScholar
2023

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

RA-L 2023

Aerial operation in turbulent environments is a challenging problem due to the chaotic behavior of the flow. This problem is made even more complex when a team of aerial robots is trying to achieve coordinated motion in turbulent wind conditions. In this letter, we present a novel multi-robot contro

Cited by 8SourceScholar
2023

Multi-Robot Coordination and Cooperation with Task Precedence Relationships

ICRA 2023poster

We propose a new formulation for the multi-robot task planning and allocation problem that incorporates (a) precedence relationships between tasks; (b) coordination for tasks allowing multiple robots to achieve increased efficiency; and (c) cooperation through the formation of robot coalitions for t…

Cited by 14SourceScholar
2022

Adaptive and Risk-Aware Target Tracking for Robot Teams With Heterogeneous Sensors

RA-L 2022

We consider a scenario where a team of robots with heterogeneous sensors must track a set of targets or hazards which may induce sensory failures on the robots. In particular, the likelihood of failures depends on the proximity between the targets and the robots. We propose a control framework that

Cited by 25SourceScholar
2022

Coverage Control in Multi-Robot Systems via Graph Neural Networks

ICRA 2022poster

This paper develops a decentralized approach to mobile sensor coverage by a multi-robot system. We consider a scenario where a team of robots with limited sensing range must position itself to effectively detect events of interest in a region characterized by areas of varying importance. Towards thi…

Cited by 40SourceScholar
2021

Resilient Task Allocation in Heterogeneous Multi-Robot Systems

RA-L 2021

This letter presents a resilient mechanism to allocate heterogeneous robots to tasks under difficult environmental conditions such as weather events or adversarial attacks. Our primary objective is to ensure that each task is assigned the requisite level of resources, measured as the aggregated capa

Cited by 75SourceScholar
2021

The Robotarium: Automation of a Remotely Accessible, Multi-Robot Testbed

RA-L 2021

The cost, in terms of both time and money, of instantiating a physical testbed can be prohibitive. To help resolve this issue, the Robotarium offers a free, remotely accessible robotics lab to users around the world. Since allowing the general public to use it, hundreds of users have submitted thous

Cited by 19SourceScholar
2020

A Set-Theoretic Approach to Multi-Task Execution and Prioritization

ICRA 2020poster

Executing multiple tasks concurrently is important in many robotic applications. Moreover, the prioritization of tasks is essential in applications where safety-critical tasks need to precede application-related objectives, in order to protect both the robot from its surroundings and vice versa. Fur…

Cited by 21SourceScholar
2020

Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities

ICRA 2020poster

For multi-robot teams with heterogeneous capabilities, typical task allocation methods assign tasks to robots based on the suitability of the robots to perform certain tasks as well as the requirements of the task itself. However, in real-world deployments of robot teams, the suitability of a robot…

Cited by 55SourceScholar
2019

A Study of a Class of Vibration-Driven Robots: Modeling, Analysis, Control and Design of the Brushbot

IROS 2019poster

In this paper we present a study of a specific class of vibration-driven robots: the brushbots. In a bottom-up fashion, we start by deriving dynamic models of the brushes and we discuss the conditions under which these models can be employed to describe the motion of brushbots. Then, we present two…

Cited by 29SourceScholar
2019

Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory

IROS 2019poster

In robot swarms operating under highly restrictive sensing and communication constraints, individuals may need to use direct physical proximity to facilitate information exchange. However, in certain task-related scenarios, this requirement might conflict with the need for robots to spread out in th…

Cited by 22SourceScholar
2019

Voluntary Retreat for Decentralized Interference Reduction in Robot Swarms

ICRA 2019poster

In densely-packed robot swarms operating in confined regions, spatial interference-which manifests itself as a competition for physical space-forces robots to spend more time navigating around each other rather than performing the primary task. This paper develops a decentralized algorithm that enab…

Cited by 22SourceScholar
2017

Collisions as Information Sources in Densely Packed Multi-Robot Systems Under Mean-Field Approximations

RSS 2017poster

As the spatial scale of robots decrease in multi-robot systems, collisions cease to be catastrophic events that need to be avoided at all costs. This implies that less conservative, coordinated control strategies can be employed, where collisions are not only tolerated, but can potentially be harnes…

Cited by 24SourcePDFScholar
2017

Safe open-loop strategies for handling intermittent communications in multi-robot systems

ICRA 2017poster

In multi-robot systems where a central decision maker is specifying the movement of each individual robot, a communication failure can severely impair the performance of the system. This paper develops a motion strategy that allows robots to safely handle critical communication failures for such mul…

Cited by 7SourceScholar