Anna Coletti
Papers
1
Total Citations
10
H-Index
1
About
Anna Coletti is a leading researcher in robotic manipulation and human-robot interaction, with a primary focus on autonomous grasping and hand kinematics. Her most cited work introduces the HANDdata dataset, a pioneering resource that captures first-person proximity and kinematic measurements during reach-to-grasp actions with non-virtual objects. This dataset is specifically designed to enhance robotic hand control by emphasizing the critical reaching phase, bridging the gap between human dexterity and machine autonomy. With over 10 citations since its 2023 publication, Coletti’s contribution provides a foundational tool for developing more intuitive and precise robotic grasping systems. Her research addresses key challenges in sensorimotor integration, enabling robots to better interpret and replicate human-like hand movements. By combining detailed motion capture with proximity vision data, Coletti’s work advances the field of autonomous manipulation, offering practical benchmarks for both academic research and industrial applications. Her efforts stand out for their focus on real-world, non-virtual environments, making her a notable figure in the push toward more adaptive and capable robotic hands.
Research Focus
Key Achievements
Top Papers
- 1