Manuela Chessa
Papers
13
Total Citations
151
H-Index
9
About
Manuela Chessa is a computational neuroscientist and robotics researcher whose work bridges biological vision, humanoid robotics, and virtual reality. Her research centers on developing neuromorphic and bio-inspired systems that replicate how the human visual system perceives and interacts with three-dimensional space. Among her most significant contributions is the design of hierarchical architectures for peripersonal space representation in humanoid robots, enabling complex reaching behaviors in unstructured environments (26 citations). She has made substantial advances in vergence eye movement control, implementing cortical models on the iCub robot platform that draw directly from the organization of the visual cortex (14 citations). Chessa has also investigated space-variant motion processing, developing neural models for focus of radial motion estimation that closely align with human perceptual performance (21 citations). Her interdisciplinary reach extends into immersive virtual reality, where she has rigorously analyzed how human gait in virtual environments compares to real-world walking (20 citations), and pioneered VR-based simulation frameworks for testing active stereo vision systems (18 citations). Through her sustained contributions across robotics, computational modeling, and perceptual science, Chessa has established herself as an important figure in the field of biologically motivated vision research.
Research Focus
Key Achievements
Top Papers
- 1
- 2A space-variant model for motion interpretation across the visual field21 citations · 2016
- 3
- 4A VIRTUAL REALITY SIMULATOR FOR ACTIVE STEREO VISION SYSTEMS18 citations · 2009
- 5
- 6Virtual Reality to Simulate Visual Tasks for Robotic Systems9 citations · 2010
- 7
- 8Vergence control with a neuromorphic iCub9 citations · 2016
- 9
- 10