IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learning

Francesco Tassi, Jianzhuang Zhao, Gustavo JG Lahr, Luna Gava, Marco Monforte, Arren Glover, Chiara Bartolozzi, Arash Ajoudani

Open source

DOI: 10.1177/02783649251345851
Published: 2025-06-20
Container: The International Journal of Robotics Research
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1177/02783649251345851,
  title = {IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learning},
  author = {Francesco Tassi and Jianzhuang Zhao and Gustavo JG Lahr and Luna Gava and Marco Monforte and Arren Glover and Chiara Bartolozzi and Arash Ajoudani},
  year = {2025},
  journal = {The International Journal of Robotics Research},
  doi = {10.1177/02783649251345851},
  url = {https://doi.org/10.1177/02783649251345851}
}

RIS

TY  - JOUR
TI  - IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learning
AU  - Francesco Tassi
AU  - Jianzhuang Zhao
AU  - Gustavo JG Lahr
AU  - Luna Gava
AU  - Marco Monforte
AU  - Arren Glover
AU  - Chiara Bartolozzi
AU  - Arash Ajoudani
PY  - 2025
JO  - The International Journal of Robotics Research
DO  - 10.1177/02783649251345851
UR  - https://doi.org/10.1177/02783649251345851
ER  -

APA

Tassi, F., Zhao, J., Lahr, G. J., Gava, L., Monforte, M., Glover, A., Bartolozzi, C., & Ajoudani, A. (2025). IMA-catcher: An IMpact-aware nonprehensile catching framework based on combined optimization and learning. The International Journal of Robotics Research. https://doi.org/10.1177/02783649251345851

Source records

crossref · retrieved 2026-09-25T10:28:57.784Z