Vivian C. Paulun

This study investigates how humans perceive object elasticity using visual cues and proposes a resource-rational model based on motion statistics.

The paper investigates brain networks involved in visually guided grasping during planning and execution using fMRI, revealing distinct neural encoding of grasp axis, size, and object mass in different brain regions.

The paper shows humans can judge grasp quality from visual input and improve through visual and haptic feedback.

The paper presents a model that predicts human precision grip grasp locations on 3D objects using behavioral data and five cost functions, showing high accuracy across different conditions.

The paper re-analyzes grasping data to determine whether spatial biases are due to energy minimization or visibility maximization, finding visibility is the primary factor.