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1 event 2 1 event, 2 11:00 am - 1:00 pm PhD Thesis Defense Anirudh Vemula February 2, 2022 11:00 am - 1:00 pm Planning and Execution using Inaccurate Models with Provable Guarantees on Task Completeness Abstract: Modern planning methods are effective in computing feasible and optimal plans for robotic tasks when given access to accurate dynamical models. However, robots operating in the real world often face situations that cannot be modeled perfectly before execution. Thus, we only have access to simplified but potentially inaccurate models. This imperfect modeling can lead [...]

1 event 3 1 event, 3 11:00 am - 12:00 pm VASC Seminar Chao Chen Stony Brook University February 3, 2022 11:00 am - 12:00 pm Topology-Driven Learning for Biomedical Imaging Informatics Abstract: Thanks to decades of technology development, we are now able to visualize in high quality complex biomedical structures such as neurons, vessels, trabeculae and breast tissues. We need innovative methods to fully exploit these structures, which encode important information about underlying biological mechanisms. In this talk, we explain how topology, i.e., connected components, handles, loops, [...]

1 event 4 1 event, 4 3:30 pm - 4:30 pm RI Seminar Matthew Johnson-Roberson February 4, 2022 3:30 pm - 4:30 pm Lessons from the Field: Deep Learning and Machine Perception for field robots Abstract: Mobile robots now deliver vast amounts of sensor data from large unstructured environments. In attempting to process and interpret this data there are many unique challenges in bridging the gap between prerecorded data sets and the field. This talk will present recent work addressing the application of machine learning techniques to mobile robotic perception. [...]

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