about us
Xstar Motion was founded to transform the way the motion of machines is planned. Today AI theory, algorithms implementation, and computational power, allow to plan the motion of every machine to exploit its full power, and to update it for every single task, autonomously. Xstar Motion will bring this down to the automation industry.
Xstar Motion fuses 20 years of automation expertise provided by EUROSOFT with cutting-edge research in motion planning and control conducted by leading researchers at University of Pisa.
Our Team
Eurosoft srl
CO-FOUNDEREurosoft srl is an Italian company, a leader in CAD/CAM and hardware system development applied to automation field for all kinds of cutting technology. Engineering, software and mathematical expertise allow us to create software and computer numerical control systems (CNC) synergically, which continually perform at a very high level, and yet which are simple applications and are very user-friendly. Our success is the result of continued commitment aimed at innovating our products, focusing maximum attention on client requirements so that clients always have full control of each single work stage. We believe that the combination of intelligent technologies and extraordinary performance can coexist in extremely powerful and easy to use products.
Lucia Pallottino
CO-FOUNDERLucia Pallottino is currently Associate Professor at the University of Pisa. She is (or has been) - Deputy Director of Centro di Ricerca "E. Piaggio" (since Jan. 2017); - Responsible of the CrossLab in Advanced Manufacturing (2018-2020); - Co-founder of Proxima robotics srl, Spin-off of the University of Pisa; - Chair of the IEEE Robotics & Automation Society Italian Chapter (I-RAS) (Jan. 2015- Dec. 2018); - Principal Investigator of the DeCAIR Erasmus+ European project. - Scientific collaborator in the DARKO European project. - Principal Investigator of the ILIAD European project.
Manolo Garabini
CO-FOUNDERManolo Garabini is employed as Assistant Professor of Automatic Control at the University of Pisa. His main research interests are in the design, planning and control of robots. He contributed in the design of the joints and the lower body of the humanoid robot WALK-MAN and took part at the DARPA Robotics Challenge and at a field test in Amatrice, Italy after a disastrous earthquake event. He is or has been the Principal Investigator in the THING and coordinator of NI H2020 EU Research Project for the University of Pisa. He is co-founder of qbrobotics s.r.l.
Alessandro Palleschi
CO-FOUNDERAlessandro Palleschi is a Ph.D. student in Smart Industry at the University of Pisa and at the Research Center ``E. Piaggio”.
He received his BSc. in Electronic Engineering at the University of Pisa in 2015, and his MSc. in Robotics and Automation Engineering at the same institution in 2018, both cum laude.
As a Ph.D. student, his research interests include robotics manipulation and grasping for logistics, and optimal motion and trajectory planning for collaborative robots.
Marco Gugliotta
CO-FOUNDERMarco Gugliotta is a Robotic engineer graduated at the University of Pisa, where he has been a researcher fellow for two years at the Research Center “E.Piaggio”.
His research interests included robotics motion planning, and optimal trajectory planning for robots.
He contributed to the European Project ILIAD, working on planning and control of a bi-manual robot for pick and place tasks, the development of a vision system for object recognition and pose estimation, and the integration of the bi-manual robot with an autonomous truck.
He worked also on the development of an obstacle detection and avoidance system for a drone based on 3D-camera and IMU sensors.
Matteo Fois
CO-FOUNDERMatteo Fois is a Robotic engineer graduated at the University of Pisa.
He built a distributed system, capable of sharing information through a Time Division Multiple Access (TDMA) policy and achieving consensus.
He contributed to the European Project ILIAD, working on planning and control of a bi-manual robot, including a commercial vision system for object recognition and pose estimation and integrating an autonomous vehicle for pallet handling.