Jorge de Heuvel

Dr.

Jorge de Heuvel

Alumni

Room:Room 2.023Tel.:+49 (0) 228 73-54203Email:deheuvel_at_cs.uni-bonn.de
  • Human-aware robot navigation
  • Personalization of human-robot-interaction
  • Reinforcement learning

I am a research associate and Ph.D. student at the Humanoid Robots Lab. My work focuses on creating robots that can navigate safely and effectively in environments with humans, using advanced techniques like deep reinforcement learning. For instance, I have worked on improving robot navigation in dynamic environments using attention-based mechanisms and lidar sensors. This involves distinguishing between static and dynamic obstacles in a robot's environment and making navigation decisions accordingly. Another key area of his research is in developing methods for learning personalized robot navigation based on user demonstrations in virtual or augmented reality, which aims to align robot navigation policies with user preferences.

I am currently offering thesis opportunities for motivated students within the research areas mentioned above. If you are interested in a Bachelor or Master thesis, feel free to get in touch with me.

My Publications

Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation

Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation

J. de Heuvel, T. Sethuraman, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning

The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning

J. de Heuvel, D. Marta, S. Holk, I. Leite, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality

Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality

J. de Heuvel, S. Müller, M. Wessels, A. Akhtar, C. Bauckhage, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2025

Auditory Localization and Assessment of Consequential Robot Sounds:  A Multi-Method Study in Virtual Reality

Auditory Localization and Assessment of Consequential Robot Sounds: A Multi-Method Study in Virtual Reality

M. Wessels, J. de Heuvel, L. Müller, A.L. Maier, J. Kraus, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2025

Spatiotemporal Attention Enhances Lidar-Based Robot Navigation in Dynamic Environments

Spatiotemporal Attention Enhances Lidar-Based Robot Navigation in Dynamic Environments

J. de Heuvel, X. Zeng, W. Shi, T. Sethuraman, M. Bennewitz

IEEE Robotics and Automation Letters (RA-L), presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024

Ensemble Policies for Diverse Query-Generation in Preference  Alignment of Robot Navigation

Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation

J. de Heuvel, F. Seiler, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2024

Sound Matters: Auditory Detectability of Mobile Robots

Sound Matters: Auditory Detectability of Mobile Robots

S. Agrawal, M. Wessels, J. de Heuvel, J. Kraus, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2024

RHINO-VR Experience: Teaching Mobile Robotics Concepts in an Interactive Museum Exhibit

RHINO-VR Experience: Teaching Mobile Robotics Concepts in an Interactive Museum Exhibit

E. Schlachhoff, N. Dengler, L. Van Holland, P. Stotko, J. de Heuvel, R. Klein, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2024

Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning

Subgoal-Driven Navigation in Dynamic Environments Using Attention-Based Deep Reinforcement Learning

J. de Heuvel, W. Shi, X. Zeng, M. Bennewitz

IEEE International Conference on Advanced Robotics (ICAR), 2023

Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality

Learning Depth Vision-Based Personalized Robot Navigation From Dynamic Demonstrations in Virtual Reality

J. de Heuvel, N. Corral, B. Kreis, J. Conradi, A. Driemel, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023

Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks

Reactive Correction of Object Placement Errors for Robotic Arrangement Tasks

B. Kreis, R. Menon, B. K. Adinarayan, J. de Heuvel, M. Bennewitz

International Conference on Intelligent Autonomous Systems (IAS-18), 2023

Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study

Learning Personalized Human-Aware Robot Navigation Using Virtual Reality Demonstrations from a User Study

J. de Heuvel, N. Corral, L. Bruckschen, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2022

New

Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation

Demonstration-Enhanced Adaptable Multi-Objective Robot Navigation

J. de Heuvel, T. Sethuraman, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning

The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning

J. de Heuvel, D. Marta, S. Holk, I. Leite, M. Bennewitz

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025

Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality

Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality

J. de Heuvel, S. Müller, M. Wessels, A. Akhtar, C. Bauckhage, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2025

Auditory Localization and Assessment of Consequential Robot Sounds:  A Multi-Method Study in Virtual Reality

Auditory Localization and Assessment of Consequential Robot Sounds: A Multi-Method Study in Virtual Reality

M. Wessels, J. de Heuvel, L. Müller, A.L. Maier, J. Kraus, M. Bennewitz

IEEE International on Human & Robot Interactive Communication (RO-MAN), 2025

Spatiotemporal Attention Enhances Lidar-Based Robot Navigation in Dynamic Environments

Spatiotemporal Attention Enhances Lidar-Based Robot Navigation in Dynamic Environments

J. de Heuvel, X. Zeng, W. Shi, T. Sethuraman, M. Bennewitz

IEEE Robotics and Automation Letters (RA-L), presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024