2 citations · 5 across the 6 of their papers we have counts for
7 papers
Leveraging Semantic Maps for City-Scale Cross-View Localization
Ethan Fahnestock, Erick Fuentes, Philip R Osteen +1
We want robots to localize in previously untraversed environments against commonly available prior data. Rich semantic data available from OpenStreetMap can be useful in this task.…
Belief Roadmaps with Uncertain Landmark Evanescence
Erick Fuentes, Jared Strader, Ethan Fahnestock +1
We would like a robot to navigate to a goal location while minimizing state uncertainty. To aid the robot in this endeavor, maps provide a prior belief over the location of objects…
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Matthew R. Walter, Siddharth Patki, Andrea F. Daniele +7
Contemporary approaches to perception, planning, estimation, and control have allowed robots to operate robustly as our remote surrogates in uncertain, unstructured environments. T…
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
Jing Shi, Zhiheng Li, Haitian Zheng +30
This technical report summarizes submissions and compiles from Actor-Action video classification challenge held as a final project in CSC 249/449 Machine Vision course (Spring 2020…
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Siddharth Patki, Ethan Fahnestock, Thomas M. Howard +1
Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions. Two fundamental limitations of these m…
Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
Ethan Fahnestock, Siddharth Patki, Thomas M. Howard
Language is an effective medium for bi-directional communication in human-robot teams. To infer the meaning of many instructions, robots need to construct a model of their surround…