19 citations · 24 across the 7 of their papers we have counts for
7 papers
A Task Allocation Framework for Human Multi-Robot Collaborative Settings
Martina Lippi, Paolo Di Lillo, Alessandro Marino
The requirements of modern production systems together with more advanced robotic technologies have fostered the integration of teams comprising humans and autonomous robots. Howev…
Augment-Connect-Explore: a Paradigm for Visual Action Planning with Data Scarcity
Martina Lippi, Michael C. Welle, Petra Poklukar +2
Visual action planning particularly excels in applications where the state of the system cannot be computed explicitly, such as manipulation of deformable objects, as it enables pl…
Safety in human-multi robot collaborative scenarios: a trajectory scaling approach
Martina Lippi, Alessandro Marino
In this paper, a strategy to handle the human safety in a multi-robot scenario is devised. In the presented framework, it is foreseen that robots are in charge of performing any co…
A Data-Driven Approach for Contact Detection, Classification and Reaction in Physical Human-Robot Collaboration
Martina Lippi, Giuseppe Gillini, Alessandro Marino +1
This paper considers a scenario where a robot and a human operator share the same workspace, and the robot is able to both carry out autonomous tasks and physically interact with t…
A Mixed-Integer Linear Programming Formulation for Human Multi-Robot Task Allocation
Martina Lippi, Alessandro Marino
In this work, we address a task allocation problem for human multi-robot settings. Given a set of tasks to perform, we formulate a general Mixed-Integer Linear Programming (MILP) p…
Enabling Visual Action Planning for Object Manipulation through Latent Space Roadmap
Martina Lippi, Petra Poklukar, Michael C. Welle +4
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces, focusing on manipulation of deformable objects. We propose a Lat…
Latent Space Roadmap for Visual Action Planning of Deformable and Rigid Object Manipulation
Martina Lippi, Petra Poklukar, Michael C. Welle +4
We present a framework for visual action planning of complex manipulation tasks with high-dimensional state spaces such as manipulation of deformable objects. Planning is performed…