activity
20212026
most citedSafety-aware time-optimal motion planning with uncertain human state estimation

43 citations · 118 across the 15 of their papers we have counts for

collaborators
Showing 2023Show all

7 papers · 1 filter

cs.RO2023★ 2 cited

OpenMORE: an open-source tool for sampling-based path replanning in ROS

Cesare Tonola, Manuel Beschi, Marco Faroni +1

With the spread of robots in unstructured, dynamic environments, the topic of path replanning has gained importance in the robotics community. Although the number of replanning str…

cs.RO2023★ 9 cited

Predicting human motion intention for pHRI assistive control

Paolo Franceschi, Fabio Bertini, Francesco Braghin +3

This work addresses human intention identification during physical Human-Robot Interaction (pHRI) tasks to include this information in an assistive controller. To this purpose, hum…

cs.RO2023★ 10 cited

Modeling and analysis of pHRI with Differential Game Theory

Paolo Franceschi, Manuel Beschi, Nicola Pedrocchi +1

Applications involving humans and robots working together are spreading nowadays. Alongside, modeling and control techniques that allow physical Human-Robot Interaction (pHRI) are…

cs.RO2023★ 1 cited

Spatio-Temporal Avoidance of Predicted Occupancy in Human-Robot Collaboration

Jared Flowers, Marco Faroni, Gloria Wiens +1

This paper addresses human-robot collaboration (HRC) challenges of integrating predictions of human activity to provide a proactive-n-reactive response capability for the robot. Pr…

cs.RO2023★ 30 cited

Optimal task and motion planning and execution for human-robot multi-agent systems in dynamic environments

Marco Faroni, Alessandro Umbrico, Manuel Beschi +3

Combining symbolic and geometric reasoning in multi-agent systems is a challenging task that involves planning, scheduling, and synchronization problems. Existing works overlooked…

cs.RO2023★ 5 cited

Hiding task-oriented programming complexity: an industrial case study

Enrico Villagrossi, Michele Delledonne, Marco Faroni +2

The ease of use of robot programming interfaces represents a barrier to robot adoption in several manufacturing sectors because of the need for more expertise from the end-users. C…

cs.RO2023★ 1 cited

Co-manipulation of soft-materials estimating deformation from depth images

Giorgio Nicola, Enrico Villagrossi, Nicola Pedrocchi

Human-robot co-manipulation of soft materials, such as fabrics, composites, and sheets of paper/cardboard, is a challenging operation that presents several relevant industrial appl…