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Distributed Algorithms for Exploration with Robotic Sensor Networks
Completed
TRL 3 (started at 2, targeting 3)
Description
Building on our understanding of the lunar surface and subsurface will be integral to a sustainable, long-term lunar presence. To explore this harsh, unknown environment, multi-agent systems of small-scale robots have been proposed as system architecture due to the low volume, mass, and development costs of small robots, and the robustness and coordination capabilities of multi-agent systems. This research investigates the challenges associated with deploying and controlling a network of robots in unknown environments with a specific focus on collaboration and exploration. These challenges include localization, multi-hop routing, motion control for exploration, consensus and task allocation, and multi-robot mapping. In particular, this research focuses algorithms which are low-complexity (suitable for resource-constrained robots), distributed (to minimize reliance on a central agent), and perform well under uncertainty. This research will further the state of the art through the design, evaluation, and implementation of algorithms which use inter-robot signals to perform localization and can efficiently and reliably explore unknown environments under constraints on connectivity.
Benefits
By demonstrating the feasibility of this algorithm and evaluating its performance relative to a centralized communication architecture, this research will result in novel distributed autonomy for robotic sensor networks. This research directly addresses the NASA-identified technology need for Automated Intelligent Networked Systems (TA 5.5.3.1).
Details
| Technology area | GN&C > Control Technologies > Onboard Maneuvering, Pointing, Stabilization, and Flight Control Algorithms |
| Program | Space Technology Research Grants (STRG) |
| Lead organization | University of Southern California, Los Angeles, CA |
| Start date | 2019-08-15 |
| End date | 2023-04-07 |
Project contacts
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