Alessandro Palla

About

Alessandro Palla is a robotics researcher whose work focuses on assistive technologies for individuals with severe motor impairments, such as Spinal Muscular Atrophy and Cerebral Palsy. His primary research areas include visual servoing, robotic arm control, and 3D scene reconstruction, all aimed at enhancing the autonomy of wheelchair users. Palla’s major contributions center on the development of embedded systems for Wheelchair Mounted Robotic Arms (WMRA), enabling users to perform daily tasks through intuitive, vision-based control. His 2016 paper on embedded eye-in-hand visual servoing (10 citations) laid the groundwork for real-time object interaction, while his 2017 work on a fully convolutional denoising autoencoder (7 citations) advanced 3D scene reconstruction from single depth images, automatically filling gaps to improve robotic perception. Additionally, his research on Position Based Visual Servoing using parallel tracking and mapping (4 citations) demonstrates how complex robotic arms can be made more accessible. With over 24 citations across his key works, Palla’s research is steadily gaining recognition for its practical impact on assistive robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Embedded implementation of an eye-in-hand visual servoing control for a Wheelchair Mounted Robotic Arm

   10 citations · 2016
2. 2
   Fully convolutional denoising autoencoder for 3D scene reconstruction from a single depth image

   7 citations · 2017
3. 3
   Position Based Visual Servoing control of a Wheelchair Mounter Robotic Arm using Parallel Tracking and Mapping of task objects

   4 citations · 2017
4. 4
   Object Detection and Spatial Coordinates Extraction Using a Monocular Camera for a Wheelchair Mounted Robotic Arm

   3 citations · 2017

Key Collaborators

Contact & Links