Alessandro Saccon is an Associate Professor in robotics and nonlinear control at the Mechanical Engineering Department, Eindhoven University of Technology (TU/e). His areas of expertise include robotics, nonlinear control and estimation, numerical optimal control and optimization, multi-body mechanics, and geometric mechanics.
Alessandro’s research interests are focused on modeling, analysis, and control of complex and highly dynamical robotic and mechatronic systems. His current research efforts are directed toward the development and validation of innovative control strategies for robotic systems with multiple intermittent contacts, with application in the field of dynamic robot manipulation and locomotion.
My research focus is on bringing robots to a new level of dexterity, so that many human beings can be relieved from performing repetitive and non-ergonomic tasks.”
Alessandro Saccon received a PhD in control system theory from the University of Padova, Italy, in 2006. He also holds a degree with honors in computer engineering from the same University. Following his PhD, he held a research and development position at the University of Padova in collaboration with racing motorcycle company Ducati Corse. From 2009 to early 2013, he held a post-doctoral research position at the Instituto Superior Técnico, Lisbon, Portugal working on geometric numerical methods for solving trajectory optimization problems.
Alessandro has held visiting positions at the University of Colorado, Boulder (2003 and 2005), at the California Institute of Technology (2006), and at the Australian National University (2011). He is the author and co-author of more than 50 peer-reviewed scientific publications across his various research areas.
Direct force-reflecting two-layer approach for passive bilateral teleoperation with time delaysIEEE Transactions on Robotics (2018)
On centroidal dynamics and integrability of average angular velocityIEEE Robotics and Automation Letters (2017)
Control of humanoid robot motions with impacts(2017)
Energy-optimal motion planning for multiple robotic vehicles with collision avoidanceIEEE Transactions on Control Systems Technology (2016)
Optimal control on lie groups : the projection operator approachIEEE Transactions on Automatic Control (2013)
Current Educational Activities
No ancillary activities