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Found 7 papers, 1 papers with code
RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
In this paper, we propose a novel topological representation of an environment based on "image segments", which are semantically meaningful and open-vocabulary queryable, conferring several advantages over previous works based on pixel-level features.
Performance Evaluation of Query Plan Recommendation with Apache Hadoop and Apache Spark
Apache Spark and Apache Hadoop frameworks are used in the present investigation to cluster different sizes of query datasets in the MapReduce-based access plan recommendation method.
Stochastic Multi-armed Bandits with Non-stationary Rewards Generated by a Linear Dynamical System
The proposed strategy for this stochastic multi-armed bandit variant is to learn a model of the dynamical system while choosing the optimal action based on the learned model.
Toward Safe and Efficient Human-Robot Interaction via Behavior-Driven Danger Signaling
It is shown that based upon the danger awareness coefficient and the proposed learning method, the robot can build a predictive human model to anticipate the human's future actions.
Robotics Systems and Control Systems and Control
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image
In order to facilitate the detection of Covid-19 globally and assist radiologists and physicians in the screening process, we are releasing all algorithms and parametric details in an open-source format.
Ranked #1 on
COVID-19 Diagnosis
on
Real-Time Monocular Object-Model Aware Sparse SLAM
While sparse point-based SLAM methods provide accurate camera localization, the generated maps lack semantic information.
Structure Aware SLAM using Quadrics and Planes
Simultaneous Localization And Mapping (SLAM) is a fundamental problem in mobile robotics.
