19 citations · 24 across the 12 of their papers we have counts for
5 papers · 1 filter
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
Constantinos Chamzas, Martina Lippi, Michael C. Welle +3
Learning state representations enables robotic planning directly from raw observations such as images. Most methods learn state representations by utilizing losses based on the rec…
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…