A Survey of Research on Control of Teams of Small Robots in Military Operations
June 03, 2016 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"Title-pattern auto-detect: A Survey of Research on Control of Teams of Small Robots in Military Operations"
Evidence collected by the PWNC Scanner
Authors
Stuart Young, Alexander Kott
arXiv ID
1606.01288
Category
cs.RO: Robotics
Citations
11
Venue
arXiv.org
Last Checked
3 days ago
Abstract
While a number of excellent review articles on military robots have appeared in existing literature, this paper focuses on a distinct sub-space of related problems: small military robots organized into moderately sized squads, operating in a ground combat environment. Specifically, we consider the following: - Command of practical small robots, comparable to current generation, small unmanned ground vehicles (e.g., PackBots) with limited computing and sensor payload, as opposed to larger vehicle-sized robots or micro-scale robots; - Utilization of moderately sized practical forces of 3-10 robots applicable to currently envisioned military ground operations; - Complex three-dimensional physical environments, such as urban areas or mountainous terrains and the inherent difficulties they impose, including limited and variable fields of observation, difficult navigation, and intermittent communication; - Adversarial environments where the active, intelligent enemy is the key consideration in determining the behavior of the robotic force; and - Purposeful, partly autonomous, coordinated behaviors that are necessary for such a robotic force to survive and complete missions; these are far more complex than, for example, formation control or field coverage behavior.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
๐ Similar Papers
In the same crypt โ Robotics
R.I.P.
๐ป
Ghosted
R.I.P.
๐ป
Ghosted
AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles
๐
๐
The Cartographer
A Survey of Motion Planning and Control Techniques for Self-driving Urban Vehicles
๐
๐
The Cartographer
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
R.I.P.
๐ป
Ghosted
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
๐
๐
The Cartographer