Robotics and Semantic Systems

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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
Ahmad, Faseeh ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Towards proactive support for human-robot collaboration
Jena, Ayesha ^LU (2025) In Licentiate thesis 4.
- Thesis › Licentiate thesis
Mark Accelerating aqueous electrolyte design with automated full-cell battery experimentation and Bayesian optimization
Yik, Jackie T. ; Hvarfner, Carl ^LU ; Sjölund, Jens ; Berg, Erik J. and Zhang, Leiting (2025) In Cell Reports Physical Science 6(5).
- Contribution to journal › Article
Mark Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
Hvarfner, Carl ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark EzSkiROS : enhancing robot skill composition with embedded DSL for early error detection
Rizwan, Momina ^LU ; Reichenbach, Christoph ^LU ; Caldas, Ricardo ; Mayr, Matthias ^LU and Krueger, Volker ^LU (2025) In Frontiers in robotics and AI 11(2024).
- Contribution to journal › Article
Mark Bayesian optimization in high dimensions : a journey through subspaces and challenges
Papenmeier, Leonard ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Unified framework for entropy search and expected improvement in Bayesian optimization
Cheng, Nuojin ; Papenmeier, Leonard ^LU ; Becker, Stephen and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Exploring exploration in Bayesian 0ptimization
Papenmeier, Leonard ^LU ; Cheng, Nuojin ; Becker, Stephen and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Understanding high-dimensional Bayesian optimization
Papenmeier, Leonard ^LU ; Poloczek, Matthias and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
Hellsten, Erik ^LU ; Hvarfner, Carl ^LU ; Papenmeier, Leonard ^LU and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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