Papers
27
Total Citations
548
H-Index
14
About
Valerio Ortenzi is a robotics researcher whose work spans robotic manipulation, human-robot collaboration, and robot control, with a particular focus on bridging the gap between autonomous robotic systems and practical real-world interaction. His most influential contribution examines how robots should select grasp types and locations when handing objects to humans, a deceptively complex problem at the intersection of dexterous manipulation and social robotics, which has garnered over 110 citations and shaped subsequent work in task-aware grasping. Ortenzi has also made significant contributions to hybrid motion/force control, producing a widely referenced review that clarifies decades of fragmented literature on the subject. His model-free grasping approach using Local Contact Moment matching demonstrates a commitment to practical solutions that require no prior object knowledge or training data — a notable achievement in an era dominated by data-hungry methods. Beyond grasping, his research addresses robot kinematic estimation from vision, constrained motion planning, and prosthetic hand control via ultrasound imaging, revealing the breadth of his technical range. With multiple papers exceeding 25 citations and a body of work consistently addressing foundational challenges in manipulation, Ortenzi stands as a versatile and impactful voice in modern robotics research.
Research Focus
Key Achievements
Top Papers
- 1On the choice of grasp type and location when handing over an object110 citations · 2019
- 2Hybrid motion/force control: a review47 citations · 2017
- 3Model-free and learning-free grasping by Local Contact Moment matching42 citations · 2018
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- 5Robotic manipulation and the role of the task in the metric of success36 citations · 2019
- 6Planning Maximum-Manipulability Cutting Paths30 citations · 2020
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- 10Kinematics-based estimation of contact constraints using only proprioception19 citations · 2016