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Found 4 papers, 2 papers with code
Language Understanding for Field and Service Robots in a Priori Unknown Environments
This progress now creates an opportunity for robots to operate not only in isolation, but also with and alongside humans in our complex environments.
Actor-Action Video Classification CSC 249/449 Spring 2020 Challenge Report
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) at University of Rochester
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Recent advances in data-driven models for grounded language understanding have enabled robots to interpret increasingly complex instructions.
Adaptive spline fitting with particle swarm optimization
In fitting data with a spline, finding the optimal placement of knots can significantly improve the quality of the fit.
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