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ORCIDMRS 2023: Boston, MA, USA
- International Symposium on Multi-Robot and Multi-Agent Systems, MRS 2023, Boston, MA, USA, December 4-5, 2023. IEEE 2023, ISBN 979-8-3503-7076-8
- George P. Kontoudis
, Daniel J. Stilwell:
Decentralized Federated Learning using Gaussian Processes. 1-7 - Yimin Tang, Zhongqiang Ren, Jiaoyang Li, Katia P. Sycara:
Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree. 8-14 - Walter Jansma, Elia Trevisan, Álvaro Serra-Gómez, Javier Alonso-Mora:
Interaction-Aware Sampling-Based MPC with Learned Local Goal Predictions. 15-21 - Kamran Vakil, Alyssa Pierson:
Selective Negotiations for Scaling Stochastic Dynamic Games. 22-28 - Shashwata Mandal, Sourabh Bhattacharya:
From Distributed Coverage to Multi-agent Target Tracking. 36-42 - Zixuan Wu, Sean Ye, Manisha Natarajan, Letian Chen, Rohan R. Paleja, Matthew C. Gombolay:
Adversarial Search and Tracking with Multiagent Reinforcement Learning in Sparsely Observable Environment. 43-49 - Yasin Findik, Hamid Osooli, Paul Robinette, Kshitij Jerath, Seyed Reza Ahmadzadeh:
Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective. 50-56 - Reza Joseph Torbati, Shubham Lohiya, Shivika Singh, Meher Shashwat Nigam, Harish Ravichandar:
MARBLER: An Open Platform for Standardized Evaluation of Multi-Robot Reinforcement Learning Algorithms. 57-63 - Akmaral Moldagalieva, Wolfgang Hönig:
Virtual Omnidirectional Perception for Downwash Prediction within a Team of Nano Multirotors Flying in Close Proximity. 64-70 - Tianze Yang, Yuhong Cao, Guillaume Sartoretti:
Intent-based Deep Reinforcement Learning for Multi-agent Informative Path Planning. 71-77 - Pia Hanfeld, Khaled Wahba, Marina M.-C. Höhne, Michael Bussmann, Wolfgang Hönig:
Kidnapping Deep Learning-based Multirotors using Optimized Flying Adversarial Patches. 78-84 - Jad Bassil, Jean-Paul A. Yaacoub, Benoît Piranda, Abdallah Makhoul, Julien Bourgeois:
Distributed Shape Recognition Algorithm for Lattice-Based Modular Robots. 85-91 - Ayhan Alp Aydeniz, Enrico Marchesini, Robert Tyler Loftin, Kagan Tumer:
Entropy Maximization in High Dimensional Multiagent State Spaces. 92-99 - Yair Korngut, Noa Agmon:
Multi-Robot Heterogeneous Adversarial Coverage. 100-106 - Zhan Gao, Guang Yang, Amanda Prorok:
Online Control Barrier Functions for Decentralized Multi-Agent Navigation. 107-113 - Md Safwan Mondal, Subramanian Ramasamy, James D. Humann, Jean-Paul F. Reddinger, James M. Dotterweich, Marshal A. Childers, Pranav A. Bhounsule:
Optimizing Fuel-Constrained UAV-UGV Routes for Large Scale Coverage: Bilevel Planning in Heterogeneous Multi-Agent Systems. 114-120 - William Babincsak, Ashay Aswale, Carlo Pinciroli:
Ant Colony Optimization for Heterogeneous Coalition Formation and Scheduling with Multi-Skilled Robots. 121-127 - Kaier Liang, Cristian-Ioan Vasile:
Distributed Fair Assignment and Rebalancing for Mobility-on-Demand Systems via an Auction-based Method. 128-134 - Brian Reily, Aaron Kraft, Mario A. Lopez, Christopher M. Reardon:
Defensive Configuration for Multi-Agent Perimeter Monitoring. 135-141 - Sean Ye, Manisha Natarajan, Zixuan Wu, Matthew C. Gombolay:
Diffusion Models for Multi-target Adversarial Tracking. 142-148 - Eduardo Sebastián, Thai Duong, Nikolay Atanasov, Eduardo Montijano, Carlos Sagüés:
Learning to Identify Graphs from Node Trajectories in Multi-Robot Networks. 142-148 - Saray Bakker, Luzia Knödler, Max Spahn, Wendelin Böhmer, Javier Alonso-Mora:
Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics. 149-155 - Nils Wilde, Javier Alonso-Mora:
Designing Heterogeneous Robot Fleets for Task Allocation and Sequencing. 156-162 - Connor Mattson, Jeremy C. Clark, Daniel S. Brown:
Exploring Behavior Discovery Methods for Heterogeneous Swarms of Limited-Capability Robots. 163-169 - Grace Diehl, Julie A. Adams:
Task Elimination: Faster Coalition Formation for Overtasked Collectives. 170-176 - Mohammed Abdullhak, Arash Sadeghi Amjadi, Andrew Vardy:
SwarmJS: Swarm Robotics Simulation on the Web. 177-183 - Nicola De Carli, Paolo Salaris, Paolo Robuffo Giordano:
Multi-Robot Active Sensing for Bearing Formations. 184-190 - Kizito Masaba, Alberto Quattrini Li:
Multi-Robot Adaptive Sampling based on Mixture of Experts Approach to Modeling Non-Stationary Spatial Fields. 191-198 - Karthik Soma, Vivek Shankar Varadharajan, Heiko Hamann, Giovanni Beltrame:
Congestion and Scalability in Robot Swarms: A Study on Collective Decision Making. 199-206 - Troi Williams, Po-Lun Chen, Sparsh Bhogavilli, Vaibhav Sanjay, Pratap Tokekar:
Where Am I Now? Dynamically Finding Optimal Sensor States to Minimize Localization Uncertainty for a Perception-Denied Rover. 207-213
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