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About

Roberto Di Leva is a robotics researcher focused on advancing industrial automation through intelligent manipulation and motion planning. His work centers on three key areas: autonomous mobile manipulation for logistics, anti-sloshing trajectory planning for liquid transport, and cooperative dual-arm robotic grasping. Di Leva’s most impactful contribution is the development of a mobile depalletizing system that integrates 3D perception, machine vision, and collaborative robotics—a platform designed to increase flexibility and ease of deployment in warehouses and packaging lines. This work, published in 2021, has garnered 28 citations. He has also made significant strides in liquid container handling, proposing time-optimal trajectory planning methods that minimize liquid sloshing during high-speed robot motions—a challenge critical to industries like food and beverage. His papers on sloshing dynamics estimation and control have collectively accumulated over 47 citations. More recently, Di Leva has explored force- and time-optimal planning for dual-arm cooperative grasping with unilateral contact constraints, enhancing versatility without specialized grippers. With over 126 total citations from his top papers alone, Di Leva is establishing himself as a contributor to safer, more efficient, and more adaptable robotic systems for real-world industrial applications.