6 citations · 6 across the 4 of their papers we have counts for
4 papers
VERAGMIL: Virtual Environment for Scooping Granular Foods with Imitation Learning Models
Amanuel Ergogo, Diego Dall'Alba, Przemyslaw Korzeniowski
Robot-Assisted Feeding (RAF) systems are essential for assisting individuals with disabilities or motor impairments in eating tasks. Manipulating granular food items, such as rice…
FF-SRL: High Performance GPU-Based Surgical Simulation For Robot Learning
Diego Dall'Alba, Michał Naskręt, Sabina Kaminska +1
Robotic surgery is a rapidly developing field that can greatly benefit from the automation of surgical tasks. However, training techniques such as Reinforcement Learning (RL) requi…
SimuScope: Realistic Endoscopic Synthetic Dataset Generation through Surgical Simulation and Diffusion Models
Sabina Martyniak, Joanna Kaleta, Diego Dall'Alba +3
Computer-assisted surgical (CAS) systems enhance surgical execution and outcomes by providing advanced support to surgeons. These systems often rely on deep learning models trained…
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy
Joanna Kaleta, Weronika Smolak-Dyżewska, Dawid Malarz +3
Endoluminal endoscopic procedures are essential for diagnosing colorectal cancer and other severe conditions in the digestive tract, urogenital system, and airways. 3D reconstructi…