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This content will become publicly available on August 12, 2027

Title: Does Mobility Call For New Data Types?
The development of mobile robotics motivates the use of a broader variety of data than do other forms of computed applications. Data types carry and govern the connection between the automation and the interpretation, but they are highly constrained in expression and capacity. In the AI paradigm of extracting information, modern machine learning favors data of certain restricted types, as shown by the successes of applications using homogeneous datasets. The heterogeneous streams of real-world data intended for beneficial robotics poses an insufficiently acknowledged risk to progress toward robotics that reflects human needs. Roboticists (like other computing technologists) should take seriously and more deeply analyze the possibility that their processing of disparate data types loses information and induces artifacts.  more » « less
Award ID(s):
2506466
PAR ID:
10696918
Author(s) / Creator(s):
;
Publisher / Repository:
Robophilosophy Conference 2026
Date Published:
Format(s):
Medium: X
Location:
Dublin, Ireland
Sponsoring Org:
National Science Foundation
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