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- 2025
-
Mark
Towards self-reliant robots : skill learning, failure recovery, and real-time adaptation: integrating behavior trees, reinforcement learning, and vision-language models for robust robotic autonomy
(2025)
- Thesis › Doctoral thesis (compilation)
-
Mark
A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees
(2025)
- Book/Report › Conference proceeding (editor)
-
Mark
Addressing Failures in Robotics Using Vision-Based Language Models (VLMs) and Behavior Trees (BT)
(2025) 16th European Robotics Forum, ERF 2025 In Springer Proceedings in Advanced Robotics 36 SPAR. p.281-287
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2024
-
Mark
Adaptable Recovery Behaviors in Robotics : A Behavior Trees and Motion Generators (BTMG) Approach for Failure Management
(2024) 20th IEEE International Conference on Automation Science and Engineering, CASE 2024 p.1815-1822
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2023
-
Mark
Hybrid planning for challenging construction problems : An Answer Set Programming approach
- Contribution to journal › Article
-
Mark
Learning to Adapt the Parameters of Behavior Trees and Motion Generators (BTMGs) to Task Variations
(2023) IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks
(2023) 19th IEEE International Conference on Automation Science and Engineering, CASE 2023 In IEEE International Conference on Automation Science and Engineering 2023-August.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Generalizing Behavior Trees and Motion-Generator (BTMG) Policy Representation for Robotic Tasks Over Scenario Parameters
(2022)
- Contribution to conference › Paper, not in proceeding
-
Mark
How to Set Up & Learn New Robot Tasks with Explainable Behaviors?
(2022) European Robotics Forum
- Contribution to conference › Poster
