activity
20202022
most citedStability analysis of the linear discrete teleoperation systems with stochastic sampling and data dropout

14 citations · 16 across the 5 of their papers we have counts for

collaborators

10 papers

cs.HC2022

A Perception-Driven Approach To Immersive Remote Telerobotics

Y. T. Tefera, D. Mazzanti, S. Anastasi +3

Virtual Reality (VR) interfaces are increasingly used as remote visualization media in telerobotics. Remote environments captured through RGB-D cameras and visualized using VR inte…

cs.RO2021

Learning from Demonstrations for Autonomous Soft-tissue Retraction

Ameya Pore, Eleonora Tagliabue, Marco Piccinelli +3

The current research focus in Robot-Assisted Minimally Invasive Surgery (RAMIS) is directed towards increasing the level of robot autonomy, to place surgeons in a supervisory posit…

cs.RO20212 cited

Autonomous tissue retraction with a biomechanically informed logic based framework

D. Meli, E. Tagliabue, D. Dall'Alba +1

Autonomy in robot-assisted surgery is essential to reduce surgeons' cognitive load and eventually improve the overall surgical outcome. A key requirement for autonomy in a safety-c…

cs.RO2021

Safe Reinforcement Learning using Formal Verification for Tissue Retraction in Autonomous Robotic-Assisted Surgery

Ameya Pore, Davide Corsi, Enrico Marchesini +4

Deep Reinforcement Learning (DRL) is a viable solution for automating repetitive surgical subtasks due to its ability to learn complex behaviours in a dynamic environment. This tas…

cs.RO2021

Industry 4.0 and Prospects of Circular Economy: A Survey of Robotic Assembly and Disassembly

Morteza Daneshmand, Fatemeh Noroozi, Ciprian Corneanu +2

Despite their contributions to the financial efficiency and environmental sustainability of industrial processes, robotic assembly and disassembly have been understudied in the exi…

cs.CV2021

Unsupervised identification of surgical robotic actions from small non homogeneous datasets

Daniele Meli, Paolo Fiorini

Robot-assisted surgery is an established clinical practice. The automatic identification of surgical actions is needed for a range of applications, including performance assessment…