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David Feil-Seifer

14 papers hereh-index 305k citations117 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author6

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.RO12
  • cs.HC1
  • cs.LG1
same name
  • David Feil-Seifer — 3 papers, h 3
  • David Feil-Seifer — 3 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedAutonomous UAV Navigation Using Reinforcement Learning

49 citations · 52 across the 6 of their papers we have counts for

collaborators
Showing 2018 · cs.ROShow all

4 papers · 2 filters

cs.RO2018

Towards a Unified Planner For Socially-Aware Navigation

Santosh Balajee Banisetty, David Feil-Seifer

This paper presents the framework for a novel Unified Socially-Aware Navigation (USAN) architecture and explains its need in Socially Assistive Robotics (SAR) applications. Our app…

cs.RO2018

A Distributed Control Framework of Multiple Unmanned Aerial Vehicles for Dynamic Wildfire Tracking

Huy Xuan Pham, Hung Manh La, David Feil-Seifer +1

Wild-land fire fighting is a hazardous job. A key task for firefighters is to observe the "fire front" to chart the progress of the fire and areas that will likely spread next. Lac…

cs.RO2018

Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage

Huy Xuan Pham, Hung Manh La, David Feil-Seifer +1

This paper proposes a distributed Multi-Agent Reinforcement Learning (MARL) algorithm for a team of Unmanned Aerial Vehicles (UAVs). The proposed MARL algorithm allows UAVs to lear…

cs.RO2018★ 49 cited

Autonomous UAV Navigation Using Reinforcement Learning

Huy X. Pham, Hung M. La, David Feil-Seifer +1

Unmanned aerial vehicles (UAV) are commonly used for missions in unknown environments, where an exact mathematical model of the environment may not be available. This paper provide…

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