activity
20222026
most citedStochastic Segmentation with Conditional Categorical Diffusion Models

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

NVIDIA Cosmos-H-Dreams: Real-Time Generative Physics Simulation for Surgical Robotics

Javier Gamazo Tejero, Lukas Zbinden, Keyur Sheth +7

Generative simulation for surgical robotics still lacks real-time interaction. Physical-robot experiments, often involving animal or cadaver labs, are time-consuming, costly, and d…

cs.RO2026★ 1 cited

Open-H-Embodiment: A Large-Scale Dataset for Enabling Foundation Models in Medical Robotics

Open-H-Embodiment Consortium, :, Nigel Nelson +213

Autonomous medical robots hold promise to improve patient outcomes, reduce provider workload, democratize access to care, and enable superhuman precision. However, autonomous medic…

cs.RO2025

Cosmos-Surg-dVRK: World Foundation Model-based Automated Online Evaluation of Surgical Robot Policy Learning

Lukas Zbinden, Nigel Nelson, Juo-Tung Chen +5

The rise of surgical robots and vision-language-action models has accelerated the development of autonomous surgical policies and efficient assessment strategies. However, evaluati…

cs.CV2023★ 2 cited

Stochastic Segmentation with Conditional Categorical Diffusion Models

Lukas Zbinden, Lars Doorenbos, Theodoros Pissas +3

Semantic segmentation has made significant progress in recent years thanks to deep neural networks, but the common objective of generating a single segmentation output that accurat…

cs.AI2022

The problem with AI consciousness: A neurogenetic case against synthetic sentience

Yoshija Walter, Lukas Zbinden

Ever since the creation of the first artificial intelligence (AI) machinery built on machine learning (ML), public society has entertained the idea that eventually computers could…