Marco Moletta
Papers
5
Total Citations
42
H-Index
4
About
Marco Moletta is a researcher at the forefront of robotic textile manipulation, a field that tackles the unique challenges posed by deformable objects in applications ranging from healthcare to industrial automation. His major contributions include a comprehensive review paper, "Unfolding the Literature: A Review of Robotic Cloth Manipulation" (2024, 20 citations), which synthesizes the state of the art in textile perception and manipulation, highlighting the limitations of rigid-object approaches. Moletta also developed a virtual reality framework for human-robot collaboration in cloth folding (2023, 12 citations), enabling automated data collection and replication of folding plans across garment classes. His work on "Elastic Context" (2022–2023, 8 citations total) introduces data-driven models that encode textile elasticity, addressing the complex interplay between yarn material properties and construction techniques during stretching and pulling. With a total of over 40 citations, Moletta’s research is pivotal for advancing assistive dressing and household robotics. His innovative use of VR for training and his focus on elasticity modeling mark him as a key contributor to the growing field of deformable object manipulation, making his work essential reading for students and researchers in robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1Unfolding the Literature: A Review of Robotic Cloth Manipulation20 citations · 2024
- 2A Virtual Reality Framework for Human-Robot Collaboration in Cloth Folding12 citations · 2023
- 3
- 4Elastic Context: Encoding Elasticity for Data-driven Models of Textiles4 citations · 2022
- 5Unfolding the Literature: A Review of Robotic Cloth Manipulation2 citations · 2024