license: mit
task_categories:
- robotics
tags:
- AI
- Robotics
- Embodied
IROS 2020 Accepted Paper Meta Info Dataset
This dataset is collect from the IROS 2020-2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (https://ieeexplore.ieee.org/xpl/conhome/1000393/all-proceedings) as well as the arxiv website DeepNLP paper arxiv (http://www.deepnlp.org/content/paper/iros2021). For researchers who are interested in doing analysis of IROS 2020 accepted papers and potential trends, you can use the already cleaned up json files. Each row contains the meta information of a paper in the IROS 2020 conference. To explore more AI & Robotic papers (NIPS/ICML/ICLR/IROS/ICRA/etc) and AI equations, feel free to navigate the Equation Search Engine (http://www.deepnlp.org/search/equation) as well as the AI Agent Search Engine to find the deployed AI Apps and Agents (http://www.deepnlp.org/search/agent) in your domain.
Equations Latex code and Papers Search Engine
Meta Information of Json File of Paper
{
"title": "Staging energy sources to extend flight time of a multirotor UAV",
"detail_url": "https://ieeexplore.ieee.org/document/9341804/",
"author_list": ["Karan P. Jain", "Jerry Tang", "Koushil Sreenath", "Mark W. Mueller", "Karan P. Jain", "Jerry Tang", "Koushil Sreenath", "Mark W. Mueller"],
"abstract": "Energy sources such as batteries do not decrease in mass after consumption, unlike combustion-based fuels. We present the concept of staging energy sources, i.e. consuming energy in stages and ejecting used stages, to progressively reduce the mass of aerial vehicles in-flight which reduces power consumption, and consequently increases flight time. A flight time vs. energy storage mass analysis is ..."
}
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