Marco Morganti
Papers
1
Total Citations
6
H-Index
1
About
Marco Morganti is a robotics researcher whose work advances the frontier of impact-aware control for torque-controlled robots. His primary research areas include flexible-joint robotics, dynamic manipulation, and locomotion, with a focus on enabling robots to harness intentional collisions for more agile and efficient movement. His most notable contribution, the 2024 paper "Refined Post-Impact Velocity Prediction for Torque-Controlled Flexible-Joint Robots," has already garnered 6 citations, signaling its growing influence in the field. In this work, Morganti improves upon earlier rigid-robot models by accounting for joint flexibility, offering a more accurate prediction of post-impact velocities—a critical step for developing control schemes that exploit contact dynamics rather than avoiding them. This refinement has direct implications for tasks ranging from assembly to legged locomotion, where controlled impacts are unavoidable. Morganti’s research is helping to shift the paradigm from collision avoidance to collision utilization, paving the way for robots that can interact with their environments with greater speed and dexterity. His work is essential reading for students and researchers interested in the intersection of control theory, robotics, and dynamic systems.
Research Focus
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Top Papers
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