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Gennaro Notomista

16 accepted papers

2025

Safe Reinforcement Learning Using Robust Control Barrier Functions

RA-L 2025

Reinforcement Learning (RL) has been shown to be effective in many scenarios. However, it typically requires the exploration of a sufficiently large number of state-action pairs, some of which may be unsafe. Consequently, its application to safety-critical systems remains a challenge. An increasingl

Cited by 85SourcecodeScholar
2022

Multi-Robot Persistent Environmental Monitoring Based on Constraint-Driven Execution of Learned Robot Tasks

ICRA 2022poster

This paper considers a multi-robot team tasked with monitoring an environmental field of interest over long time horizons. The approach is based on a control-theoretic measure of the information collected by the robots, namely a norm of the constructability Gramian. This measure is leveraged in orde…

Cited by 17SourceScholar
2021

Data-Driven Adaptive Task Allocation for Heterogeneous Multi-Robot Teams Using Robust Control Barrier Functions

ICRA 2021poster

Multi-robot task allocation is a ubiquitous problem in robotics due to its applicability in a variety of scenarios. Adaptive task-allocation algorithms account for unknown disturbances and unpredicted phenomena in the environment where robots are deployed to execute tasks. However, this adaptivity t…

Cited by 15SourceScholar
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
2020

Enhancing Game-Theoretic Autonomous Car Racing Using Control Barrier Functions

ICRA 2020poster

In this paper, we consider a two-player racing game, where an autonomous ego vehicle has to be controlled to race against an opponent vehicle, which is either autonomous or human-driven. The approach to control the ego vehicle is based on a Sensitivity-ENhanced NAsh equilibrium seeking (SENNA) metho…

Cited by 42SourceScholar
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

Sensor Coverage Control Using Robots Constrained to a Curve

ICRA 2019poster

In this paper we consider a constrained coverage control problem for a team of mobile robots. The robots are asked to provide sensor coverage over a two-dimensional domain, while being constrained to only move on a curve. The unconstrained coverage problem can be effectively solved by defining a loc…

Cited by 2SourceScholar
2016

Enhancing bilateral teleoperation using camera-based online virtual fixtures generation

IROS 2016poster

In this paper we present an interactive system to enhance bilateral teleoperation through online virtual fixtures generation and task switching. This is achieved using a stereo camera system which provides accurate information of the surrounding environment of the robot and of the tasks that have to…

Cited by 44SourceScholar