A Concept for a HRC Workspace Using Proximity Sensors. - Ilshat Mamaev; Hosam Alagi; Gergely Sóti; Björn Hein (ICR, 2020)

A Modular Deep Learning Architecture for Anomaly Detection in HRI. - Gergely Sóti; Ilshat Mamaev; Björn Hein (ICR, 2020)

A Unified Perception Benchmark for Capacitive Proximity Sensing Towards Safe Human-Robot Collaboration (HRC). - Serkan Ergun; Yitao Ding; Hosam Alagi; Christian Schöffmann; Barnaba Ubezio; Gergely Sóti; Michael Rathmair; Stephan Mühlbacher-Karrer; Ulrike Thomas; Björn Hein; Michael W. Hofbaur; Hubert Zangl (ICRA, 2021)

Supplementary Material To: A Unified Perception Benchmark for Capacitive Proximity Sensing Towards Safe Human-Robot Collaboration (HRC). - Serkan Ergun; Yitao Ding; Hosam Alagi; Christian Schöffmann; Barnaba Ubezio; Gergely Sóti; Michael Rathmair; Stephan Mühlbacher-Karrer; Ulrike Thomas; Björn Hein; Michael W. Hofbaur; Hubert Zangl (IEEE DataPort, 2021)

KI5GRob: Fusing Cloud Computing and AI for Scalable Robotic System in Production and Logistics. - Yongzhou Zhang; Gergely Sóti; Björn Hein; Christian Wurll (IAS, 2022)

HIRO: Heuristics Informed Robot Online Path Planning Using Pre-computed Deterministic Roadmaps. - Xi Huang; Gergely Sóti; Hongyi Zhou; Christoph Ledermann; Björn Hein; Torsten Kröger (IROS, 2022)

Train What You Know - Precise Pick-and-Place with Transporter Networks. - Gergely Sóti; Xi Huang; Christian Wurll; Björn Hein (ICRA, 2023)

Gradient based Grasp Pose Optimization on a NeRF that Approximates Grasp Success. - Gergely Sóti; Björn Hein; Christian Wurll (CoRR, 2023)

Planning with Learned Subgoals Selected by Temporal Information. - Xi Huang; Gergely Sóti; Christoph Ledermann; Björn Hein; Torsten Kröger (ICRA, 2024)

6-DoF Grasp Pose Evaluation and Optimization via Transfer Learning from NeRFs. - Gergely Sóti; Xi Huang; Christian Wurll; Björn Hein (ICRA, 2024)

dGrasp: NeRF-Informed implicit grasp policies with supervised optimization slopes. - Gergely Sóti; Xi Huang; Christian Wurll; Björn Hein (Robotics Auton. Syst., 2025)