41 citations · 58 across the 7 of their papers we have counts for
8 papers
Online Multi-Robot Coordination and Cooperation with Task Precedence Relationships
Walker Gosrich, Saurav Agarwal, Kashish Garg +4
We propose a new formulation for the multi-robot task allocation problem that incorporates (a) complex precedence relationships between tasks, (b) efficient intra-task coordination…
Multi-Robot Coordination and Cooperation with Task Precedence Relationships
Walker Gosrich, Siddharth Mayya, Saaketh Narayan +3
We propose a new formulation for the multi-robot task planning and allocation problem that incorporates (a) precedence relationships between tasks; (b) coordination for tasks allow…
Adaptive Sampling of Latent Phenomena using Heterogeneous Robot Teams (ASLaP-HR)
Matthew Malencia, Sandeep Manjanna, M. Ani Hsieh +2
In this paper, we present an online adaptive planning strategy for a team of robots with heterogeneous sensors to sample from a latent spatial field using a learned model for decis…
Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
Benjamin Hudson, Qingbiao Li, Matthew Malencia +1
Solutions to the Traveling Salesperson Problem (TSP) have practical applications to processes in transportation, logistics, and automation, yet must be computed with minimal delay…
Beyond Robustness: A Taxonomy of Approaches towards Resilient Multi-Robot Systems
Amanda Prorok, Matthew Malencia, Luca Carlone +3
Robustness is key to engineering, automation, and science as a whole. However, the property of robustness is often underpinned by costly requirements such as over-provisioning, kno…
Agree to Disagree: Subjective Fairness in Privacy-Restricted Decentralised Conflict Resolution
Alex Raymond, Matthew Malencia, Guilherme Paulino-Passos +1
Fairness is commonly seen as a property of the global outcome of a system and assumes centralisation and complete knowledge. However, in real decentralised applications, agents onl…
Fair Robust Assignment using Redundancy
Matthew Malencia, Vijay Kumar, George Pappas +1
We study the consideration of fairness in redundant assignment for multi-agent task allocation. It has recently been shown that redundant assignment of agents to tasks provides rob…
Reactive Temporal Logic Planning for Multiple Robots in Unknown Occupancy Grid Maps
Yiannis Kantaros, Matthew Malencia, George J. Pappas
This paper proposes a new reactive temporal logic planning algorithm for multiple robots that operate in environments with unknown geometry modeled using occupancy grid maps. The r…