How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams (ACSOS 2020 - Research Papers) - ACSOS 2020

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Mon 17 - Fri 21 August 2020

Who

Sehyeok Kang, Taeyeong Choi, Theodore Pavlic

Track

ACSOS 2020 Research Papers

Time Zone

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When

Wed 19 Aug 2020 19:03 - 19:22 at Presentation Room B - Short Papers Chair(s): Christopher Landauer

Sehyeok Kang

Taeyeong Choi

Arizona State University

Theodore Pavlic

Arizona State University

Time Zone

The program is currently displayed in (GMT+01:00) London.

Use conference time zone: (GMT+01:00) LondonSelect other time zone

The GMT offsets shown reflect the offsets at the moment of the conference.

Time Band

By setting a time band, the program will dim events that are outside this time window. This is useful for (virtual) conferences with a continuous program (with repeated sessions).
The time band will also limit the events that are included in the personal iCalendar subscription service.

Display full programSpecify a time band

Session Program

Wed 19 Aug
Displayed time zone: London change

	18:45 - 20:00	Short PapersResearch Papers at Presentation Room B Chair(s): Christopher Landauer Topcy House Consulting / Aeospace

	18:45 18m Short-paper		MERIT: Model-driven Rehoming for VNF Chains Research Papers Muhammad Wajahat Stony Brook University, Bharath Balasubramanian AT&T Labs Research, Anshul Gandhi Stony Brook University, Gueyoung Jung AT&T Labs Research, Shankaranarayanan Puzhavakath Narayanan AT&T Labs Research
	19:03 18m Short-paper		How far should I watch? Quantifying the effect of various observational capabilities on long-range situational awareness in multi-robot teams Research Papers Sehyeok Kang , Taeyeong Choi Arizona State University, Theodore Pavlic Arizona State University
	19:22 18m Short-paper		FCPP: an efficient and extensible field calculus framework Research Papers Giorgio Audrito Università di Torino
	19:41 18m Short-paper		Automating GUI Testing with Image-Based Deep Reinforcement Learning Research Papers Juha Eskonen Ericsson, Julen Kahles Ericsson Finland, Joel Reijonen Ericsson Finland