@article {li2024aldm,
	title = {Aldm-grasping: Diffusion-aided zero-shot sim-to-real transfer for robot grasping},
	journal = {arXiv preprint arXiv:2403.11459},
	year = {2024},
	author = {Li, Yiwei and Wu, Zihao and Zhao, Huaqin and Yang, Tianze and Liu, Zhengliang and Shu, Peng and Sun, Jin and Parasuraman, Ramviyas and Liu, Tianming}
}
@article {jordan2024analyzing,
	title = {Analyzing Human Perceptions of a MEDEVAC Robot in a Simulated Evacuation Scenario},
	journal = {arXiv preprint arXiv:2410.19072},
	year = {2024},
	author = {Jordan, Tyson and Pandey, Pranav and Doshi, Prashant and Parasuraman, Ramviyas and Goodie, Adam}
}
@conference {munir2024anchor,
	title = {Anchor-Oriented Localized Voronoi Partitioning for GPS-denied Multi-Robot Coverage},
	booktitle = {2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2024},
	author = {Munir, Aiman and Latif, Ehsan and Parasuraman, Ramviyas}
}
@article {gkasieniec2024anonymous,
	title = {Anonymous distributed localisation via spatial population protocols},
	year = {2024},
	author = {G{\k a}sieniec, Leszek and Kuszner, {\L}ukasz and Latif, Ehsan and Parasuraman, Ramviyas and Spirakis, Paul and Stachowiak, Grzegorz}
}
@article {Luo2022,
	title = {Adaptive Flow Planning of Modular Spherical Robot Considering Static Gravity Stability},
	journal = {IEEE Robotics and Automation Letters},
	volume = {7},
	year = {2022},
	pages = {4228{\textendash}4235},
	publisher = {IEEE},
	abstract = {Modular robots have a unique obstacle-crossing method, flow. Flow is realized by constantly changing the connection relationship between modules, namely reconfiguration. Existing flow planning methods do not consider the static stability in their adaptation to obstacles. This letter proposes a flow planning method with scalability, adaptability, and static gravity stability. The criterion of static gravity stability is always satisfied through the following two innovations. First, each target configuration in the flow process is designed to grasp obstacles like vines. Second, in motion planning, each module maintains contact with the obstacle or a fixed module to maximize the supporting polygon of the configuration. What{\textquoteright}s more, the simplified path output by the connection planning and the precise calculation based on the mesh model realize the scalability and adaptability of the flow planning method. In simulation, we evaluate the adaptability to various obstacles and the margin of static gravity stability.},
	keywords = {Cellular and modular robots, Gravity, Hardware, path planning for multiple mobile robots or agents, Planning, Robot kinematics, Robots, scheduling and coordination, Stability criteria, Three-dimensional displays},
	issn = {2377-3774},
	doi = {10.1109/LRA.2022.3150028},
	author = {Haobo Luo and Tin Lun Lam}
}
@article {tahir2022analog,
	title = {Analog twin framework for human and ai supervisory control and teleoperation of robots},
	journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
	volume = {53},
	number = {5},
	year = {2022},
	pages = {2616{\textendash}2628},
	publisher = {IEEE},
	author = {Tahir, Nazish and Parasuraman, Ramviyas}
}
@conference {413,
	title = {AmphiLight: Direct Air-Water Communication with Laser Light},
	booktitle = {17th USENIX Symposium on Networked Systems Design and Implementation (NSDI 20)},
	year = {2020},
	publisher = {USENIX Association},
	organization = {USENIX Association},
	address = {Santa Clara, CA},
	isbn = {978-1-939133-13-7},
	url = {https://www.usenix.org/conference/nsdi20/presentation/carver},
	author = {Charles J. Carver and Zhao Tian and Hongyong Zhang and Kofi M. Odame and Quattrini~Li, Alberto and Xia Zhou}
}
@conference {377,
	title = {Adding Heuristics to Conflict-Based Search for Multi-Agent Pathfinding},
	booktitle = {International Conference on Automated Planning and Scheduling (ICAPS)},
	year = {2018},
	author = {Ariel Felner and Jiaoyang Li and Eli Boyarski and Hang Ma and Liron Cohen and T. K. Satish Kumar and Sven Keonig}
}
@conference {419,
	title = {Autonomous Marine Sampling Enhanced by Strategically Deployed Drifters in Marine Flow Fields},
	booktitle = {OCEANS 2018 MTS/IEEE Charleston},
	year = {2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Charleston, SC},
	doi = {10.1109/OCEANS.2018.8604873},
	url = {https://ieeexplore.ieee.org/document/8604873/},
	author = {Hansen, Johanna and Manjanna, Sandeep and Quattrini~Li, Alberto and Rekleitis, Ioannis and Dudek, Gregory}
}
@article {378,
	title = {AI Buzzwords Explained: Multi-Agent Path Finding (MAPF)},
	journal = {AI Matters},
	volume = {3},
	year = {2017},
	pages = {15{\textendash}19},
	keywords = {journal},
	author = {Hang Ma and Sven Koenig}
}
@conference {parasuraman2017approach,
	title = {An Approach to Retrieve from Communication Loss in Field Robots},
	booktitle = {Robotics: Science and Systems workshop: ROBOT COMMUNICATION IN THE WILD: MEETING THE CHALLENGES OF REAL-WORLD SYSTEMS!},
	year = {2017},
	author = {Parasuraman, Ramviyas and Caccamo, Sergio and Freda, Luigi and {\"O}gren, Petter and Min, Byung-Cheol}
}
@conference {nair2016adaptive,
	title = {Adaptive fuzzy nonsingular fast terminal sliding mode control for spacecraft formation flying},
	booktitle = {IEEE First International conference on Control, Measurement and Instrumentation, Kolkata, India},
	year = {2016},
	pages = {408{\textendash}413},
	author = {Nair, Ranjith Ravindranathan and Behera, Laxmidhar}
}
@conference {171,
	title = {Asynchronous Multirobot Exploration under Recurrent Connectivity Constraints},
	booktitle = {Proceedings of the IEEE International Conference on Robotics and Automation (ICRA)},
	year = {2016},
	address = {Stockholm, Sweden},
	abstract = {In multirobot exploration under centralized control, communication plays an important role in constraining the team exploration strategy. Recurrent connectivity is a way to define communication constraints for which robots must
connect to a base station only when making new observations.
This paper studies effective multirobot exploration strategies under recurrent connectivity by considering a centralized and
asynchronous planning framework. We formalize the problem of selecting the optimal set of locations robots should reach, provide an exact formulation to solve it, and devise an approximation algorithm to obtain efficient solutions with a bounded loss of optimality. Experiments in simulation and on real robots
evaluate our approach in a number of settings.},
	author = {Jacopo Banfi and Alberto Quattrini~Li and Nicola Basilico and Ioannis Rekleitis and Francesco Amigoni}
}
@article {195,
	title = {Ad Hoc Communication in Teams of Mobile Robots using Zigbee Technology},
	journal = {Computer Applications in Engineering Education},
	volume = {23},
	year = {2015},
	month = {Sep.},
	pages = {733-745},
	author = {Fernandes, A. and Couceiro, M. and Portugal, D. and Santos, J. M. and Rocha, R. P.}
}
@conference {164,
	title = {Adaptive Force/Velocity Control for Multi-Robot Cooperative Manipulation under Uncertain Kinematic Parameters},
	booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems},
	year = {2013},
	doi = {10.1109/IROS.2013.6696369},
	url = {;},
	author = {S. Erhart and S. Hirche}
}
@article {216,
	title = {An Aerial-Ground Robotic System for Navigation and Obstacle Mapping in Large Outdoor Areas},
	journal = {Sensors},
	volume = {13},
	year = {2013},
	pages = {1247},
	abstract = {There are many outdoor robotic applications where a robot must reach a goal position or explore an area without previous knowledge of the environment around it. Additionally, other applications (like path planning) require the use of known maps or previous information of the environment. This work presents a system composed by a terrestrial and an aerial robot that cooperate and share sensor information in order to address those requirements. The ground robot is able to navigate in an unknown large environment aided by visual feedback from a camera on board the aerial robot. At the same time, the obstacles are mapped in real-time by putting together the information from the camera and the positioning system of the ground robot. A set of experiments were carried out with the purpose of verifying the system applicability. The experiments were performed in a simulation environment and outdoor with a medium-sized ground robot and a mini quad-rotor. The proposed robotic system shows outstanding results in simultaneous navigation and mapping applications in large outdoor environments.},
	issn = {1424-8220},
	doi = {10.3390/s130101247},
	url = {http://www.mdpi.com/1424-8220/13/1/1247},
	author = {Garz{\'o}n, Mario and Valente, Jo{\~a}o and Zapata, David and Barrientos, Antonio}
}
@conference {47,
	title = {ARMO: Adaptive Road Map Optimization for Large Robot Teams},
	booktitle = {IROS},
	year = {2011},
	address = {San Fransisco, USA},
	abstract = {Autonomous robot teams that simultaneously dispatch transportation tasks are playing more and more an important role in present logistic centers and manufacturing plants. In this paper we consider the problem of robot motion planning for large robot teams in the industrial domain. We present adaptive road map optimization (ARMO) that is capable of adapting the road map in real time whenever the environment has changed. Based on linear programming, ARMO computes an optimal road map according to current environmental constraints (including human whereabouts) and the current demand for transportation tasks from loading stations in the plant. For detecting dynamic changes, the environment is describe by a grid map augmented with a hidden Markov model (HMM). We show experimentally that ARMO outperforms decoupled planning in terms of computation time and time needed for task completion.},
	isbn = {978-1-61284-454-1},
	doi = {10.1109/IROS.2011.6048339},
	author = {A. Kleiner and D. Sun and D. Meyer-Delius}
}
@article {403,
	title = {Autonomous Deployment of Heterogeneous Mobile Sensors},
	journal = {IEEE Transactions on Mobile Computing},
	volume = {10},
	year = {2011},
	pages = {753-766},
	author = {N. Bartolini and T. Calamoneri and T. F. La Porta and S. Silvestri}
}
@conference {368,
	title = {Abstractions and controllers for groups of robots in environments with obstacles},
	booktitle = {2010 IEEE International Conference on Robotics and Automation (ICRA 2010)2010 IEEE International Conference on Robotics and Automation},
	year = {2010},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Anchorage, AK},
	isbn = {978-1-4244-5038-1},
	doi = {10.1109/ROBOT.2010.5509534},
	url = {http://ieeexplore.ieee.org/document/5509534/http://xplorestaging.ieee.org/ielx5/5501116/5509124/05509534.pdf?arnumber=5509534},
	author = {Ayanian, Nora and Kumar, Vijay}
}
@conference {NA:VK:ICRA10,
	title = {Abstractions and Controllers for Groups of Robots in Environments with Obstacles},
	booktitle = {IEEE International Conference on Robotics and Automation},
	year = {2010},
	month = {May},
	pages = {3537 - 3542},
	address = {Anchorage, AK},
	keywords = {Aut:Yes, Coll:Other, Comp:Cent, End:Yes, Form:Other, Guar:Yes, Level:Hi, Num:M, Obs:Stat},
	author = {Nora Ayanian and Vijay Kumar}
}
@conference {405,
	title = {Autonomous deployment of heterogeneous mobile sensors},
	booktitle = {2009 17th IEEE International Conference on Network Protocols},
	year = {2009},
	author = {N. Bartolini and T. Calamoneri and T. La Porta and A. Massini and S. Silvestri}
}
@booklet {parasuraman2008automated,
	title = {AUTOMATED GENERATION OF VLSI STANDARD CELL LIBRARIES USING GENETIC ALGORITHMS},
	howpublished = {Anna University},
	number = {Capstone Project Report},
	year = {2008},
	publisher = {Anna University},
	author = {Parasuraman, Ramviyas}
}
@conference {174,
	title = {Auction-Based Multi-Robot Routing},
	booktitle = {Proceedings of Robotics: Science and Systems},
	year = {2005},
	month = {June},
	address = {Cambridge, USA},
	author = {Michail G. Lagoudakis and Evangelos Markakis and David Kempe and Pinar Keskinocak and Anton Kleywegt and Sven Koenig and Craig Tovey and Adam Meyerson and Sonal Jain}
}
