Resilient Autonomy for Extreme and Uncertain Environments
Author(s)
Scherer, Sebastian
Advisor(s)
Editor(s)
Collections
Supplementary to:
Permanent Link
Abstract
Robustness in AI and robotics shows great promise if systems can transition from the lab to real-world environments, moving beyond the single-operator per robot paradigm. However, the unstructured nature of the real-world demands nuanced decision-making from robots. In this talk, Prof. Scherer will outline approaches, progress, and results in multi-modal sensing, nuanced perception inputs, navigation in difficult terrain, and extensions to multi-robot teams, as well as future research directions.
Sponsor
Date
2025-03-26
Extent
48:54 minutes
Resource Type
Moving Image
Resource Subtype
Lecture
Rights Statement
Unless otherwise noted, all materials are protected under U.S. Copyright Law and all rights are reserved