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Editorial
. 2024 Jan 9:10:1355576.
doi: 10.3389/frobt.2023.1355576. eCollection 2023.

Editorial: Language, affordance and physics in robot cognition and intelligent systems

Nutan Chen  1 , Walterio W Mayol-Cuevas  2   3 , Maximilian Karl  1 , Elie Aljalbout  1 , Andy Zeng  4 , Aurelio Cortese  5 , Wolfram Burgard  6 , Herke van Hoof  7
Affiliations
Editorial

Editorial: Language, affordance and physics in robot cognition and intelligent systems

Nutan Chen et al. Front Robot AI. .
No abstract available

Keywords: intelligent systems; physics in robotic; robot affordance; robot cognition; robot language.

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Conflict of interest statement

Authors NC and MK were employed by Volkswagen Group. Author WM-C was employed by Amazon. Author AZ was employed by Google Deepmind. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Figures

FIGURE 1
FIGURE 1
Schematic representation of a robot’s decision-making process for object manipulation as informed by natural language instructions, affordance, and physical laws.
See this image and copyright information in PMC

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  • Editorial on the Research Topic Language, affordance and physics in robot cognition and intelligent systems

References

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    1. Lutter M., Ritter C., Peters J. (2019). Deep Lagrangian networks: using physics as model prior for deep learning. Available at: https://arxiv.org/abs/1907.04490.
    1. Reed S., Zolna K., Parisotto E., Colmenarejo S. G., Novikov A., Barth-Maron G., et al. (2022). A generalist agent. Available at: https://arxiv.org/abs/2205.06175.

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