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Alessio Sozzi

5 accepted papers

2022

Improving the Feasibility of DS-based Collision Avoidance Using Non-Linear Model Predictive Control

ICRA 2022poster

In this paper we present a novel strategy for reactive collision-free feasible motion planning for robotic manipulators operating inside an environment populated by moving obstacles. The proposed strategy embeds the Dynamical System (DS) based obstacle avoidance algorithm into a constrained non-line…

Cited by 2SourceScholar
2022

Linear MPC-based Motion Planning for Autonomous Surgery

IROS 2022poster

Within the context of Robotic Minimally Invasive Surgery (R-MIS), we propose a novel linear model predictive controller formulation for the coordination of multiple autonomous robotic arms. The controller is synthesized by formulating a linear approximation of non-linear constraints, which allows th…

Cited by 2SourceScholar
2020

Global/local motion planning based on Dynamic Trajectory Reconfiguration and Dynamical Systems for Autonomous Surgical Robots

ICRA 2020poster

This paper addresses the generation of collision-free trajectories for the autonomous execution of assistive tasks in Robotic Minimally Invasive Surgery (R-MIS). The proposed approach takes into account geometric constraints related to the desired task, like for example the direction to approach the…

Cited by 8SourceScholar
2020

Integrating Model Predictive Control and Dynamic Waypoints Generation for Motion Planning in Surgical Scenario

IROS 2020poster

In this paper we present a novel strategy for motion planning of autonomous robotic arms in Robotic Minimally Invasive Surgery (R-MIS). We consider a scenario where several laparoscopic tools must move and coordinate in a shared environment. The motion planner is based on a Model Predictive Controll…

Cited by 15SourceScholar
2019

Cognitive Robotic Architecture for Semi-Autonomous Execution of Manipulation Tasks in a Surgical Environment

IROS 2019poster

The development of robotic systems with a certain level of autonomy to be used in critical scenarios, such as an operating room, necessarily requires a seamless integration of multiple state-of-the-art technologies. In this paper we propose a cognitive robotic architecture that is able to help an op…

Cited by 30SourceScholar