2 citations · 3 across the 5 of their papers we have counts for
6 papers
Towards Online Robot Interaction Adaptation to Human Upper-limb Mobility Impairments in Return-to-Work Scenarios
Marta Lagomarsino, Francesco Tassi
Work environments are often inadequate and lack inclusivity for individuals with upper-body disabilities. This paper presents a novel online framework for adaptive human-robot inte…
IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi, Jianzhuang Zhao, Gustavo J. G. Lahr +5
Robotic catching of flying objects typically generates high impact forces that might lead to task failure and potential hardware damages. This is accentuated when the object mass t…
Mitigating Compensatory Movements in Prosthesis Users via Adaptive Collaborative Robotics
Marta Lagomarsino, Robin Arbaud, Francesco Tassi +1
Prosthesis users can regain partial limb functionality, however, full natural limb mobility is rarely restored, often resulting in compensatory movements that lead to discomfort, i…
A Combined Learning and Optimization Framework to Transfer Human Whole-body Loco-manipulation Skills to Mobile Manipulators
Jianzhuang Zhao, Francesco Tassi, Yanlong Huang +2
Humans' ability to smoothly switch between locomotion and manipulation is a remarkable feature of sensorimotor coordination. Leaning and replication of such human-like strategies c…
Impact-Friendly Object Catching at Non-Zero Velocity Based on Combined Optimization and Learning
Jianzhuang Zhao, Gustavo J. G. Lahr, Francesco Tassi +3
This paper proposes a combined optimization and learning method for impact-friendly, non-prehensile catching of objects at non-zero velocity. Through a constrained Quadratic Progra…
Sociable and Ergonomic Human-Robot Collaboration through Action Recognition and Augmented Hierarchical Quadratic Programming
Francesco Tassi, Francesco Iodice, Elena De Momi +1
The recognition of actions performed by humans and the anticipation of their intentions are important enablers to yield sociable and successful collaboration in human-robot teams.…