@article {qianreinforcement,
	title = {Reinforcement-Learning-Based Finite Time Fault Tolerant Control for a Manipulator With Actuator Faults....................},
	year = {Submitted},
	author = {Qian, Y and Miao, Z and Zhou, J and Zhu, X and Kuppusamy, S and Yu, SS and Trinh, H and Venkata, SSO and Parasuraman, R and Pidaparti, R and others}
}
@article {yang2025real,
	title = {Real-world Cyber Security Demonstration for Networked Electric Drives},
	journal = {IEEE Journal of Emerging and Selected Topics in Power Electronics},
	year = {2025},
	publisher = {IEEE},
	author = {Yang, He and Yang, Bowen and Coshatt, Stephen and Li, Qi and Hu, Kun and Hammond, Bryan Cooper and Ye, Jin and Parasuraman, Ramviyas and Song, Wenzhan}
}
@conference {munir2024route,
	title = {Route Planning for Electric Vehicles with Charging Constraints},
	booktitle = {2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)},
	year = {2024},
	pages = {1{\textendash}5},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Munir, Aiman and Parasuraman, Ramviyas and Ye, Jin and Song, Wenzhan}
}
@article {parasuraman2023rapid,
	title = {Rapid prediction of network quality in mobile robots},
	journal = {Ad Hoc Networks},
	volume = {138},
	year = {2023},
	pages = {103014},
	publisher = {Elsevier},
	author = {Parasuraman, Ramviyas and Min, Byung-Cheol and {\"O}gren, Petter}
}
@conference {tahir2020robot,
	title = {Robot controlling robots-a new perspective to bilateral Teleoperation in mobile robots},
	booktitle = {Robotics: Science and System (RSS) 2020 Workshop on Reacting Contact Enabling Transp. Interact. Through Intell. Sens. Actuation},
	year = {2020},
	pages = {1{\textendash}3},
	author = {Tahir, Nazish and Parasuraman, Ramviyas}
}
@conference {Li2020,
	title = {Robot-to-Robot Relative Pose Estimation based on Semidefinite Relaxation Optimization},
	booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2020},
	pages = {4491{\textendash}4498},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Las Vegas, NV, USA},
	abstract = {In this paper, the 2D robot-to-robot relative pose (position and orientation) estimation problem based on ego-motion and noisy distance measurements is considered. We address this problem using an optimization-based method, which does not require complicated numerical analysis while yields no inferior relative localization (RL) results compared to existing approaches. In particular, we start from a state-of-the-art method named square distances weighted least square (SD-WLS), and reformulate it as a non-convex quadratically constrained quadratic programming (QCQP) problem. To handle its non-convex nature, a semidefinite programming (SDP) relaxation optimization-based method is proposed, and we prove that the relaxation is tight when measurements are free from noise or just corrupted by small noise. Further, to obtain the optimal solution of the relative pose estimation problem in the sense of maximum likelihood estimation (MLE), a theoretically optimal WLS method is developed to refine the estimate from the SDP optimization. Comprehensive simulations and well-designed experiments are presented for validating the tightness of the SDP relaxation, and the effectiveness of the proposed algorithm is highlighted by comparing it to the existing approaches.},
	keywords = {Maximum likelihood estimation, Noise measurement, Optimization, Particle measurements, Pose estimation, Quadratic programming, Two dimensional displays},
	isbn = {978-1-7281-6213-3},
	issn = {2153-0858},
	doi = {10.1109/IROS45743.2020.9341568},
	author = {Ming Li and Guanqi Liang and Haobo Luo and Huihuan Qian and Tin Lun Lam}
}
@proceedings {428,
	title = {Robust Adaptive Finite-Time Consensus Tracking Protocols for a Group of Nonlinear Autonomous Systems},
	year = {2019},
	month = {11/2019},
	publisher = {IEEE},
	address = {Italy},
	doi = {10.1109/SMC.2019.8914028},
	author = {S. Islam}
}
@proceedings {426,
	title = {Robust Adaptive Tracking Synchronization Protocols for Leader-Follower Multirotor Aerial Vehicles with Uncertainty},
	year = {2019},
	month = {11/2019},
	publisher = {IEEE},
	address = {Italy},
	abstract = { This   paper  develops  robust   adaptive  tracking synchronization protocol for a group of cloud connected leader-follower  multirotor  aerial  vehicles  (MAVs)  with  uncertainty. The design combines adaptive learning mechanism with sliding mode control vectors to solve consensus tracking synchroniza-tion  problem  for  both  attitude  and  position  dynamics.  The protocols are constructed by using local and neighboring states of  the  vehicles  provided  that  the  vehicles  can  share  states information with  neighboring vehicles via local area network. Adaptive learning algorithms are used locally for each vehicle to  deal  with  uncertainty  associated  with  nonlinear  dynamics and uncertain flying environment. Lyapunov and sliding mode control method is employed to design and analyze asymptotic convergence  of  the  consensus  tracking  error  functions.  The convergence  analysis  shows  that  the  states  of  the  follower vehicles can reach an agreement and synchronize to the leader vehicle achieving  ensuring tracking synchronization property. The  protocols  design  and  implementation  is  simple  as  they do  not  require  exact  knowledge of  the  dynamical  model  and uncertainty. 

},
	doi = {10.1109/SMC.2019.8914373},
	author = {Shafiqul Islam and Abdulmotaleb El Saddik and Anderson Sunda-Meya}
}
@article {425,
	title = {Robust Asymptotic and Finite-time Tracking for Second-order Nonlinear Multi-agent Autonomous Systems},
	journal = {International Journal of Control Automation and Systems},
	volume = {17},
	year = {2019},
	month = {12/2019},
	type = {Research },
	chapter = {3069},
	abstract = {This paper investigates consensus based distributed robust asymptotic and finite-time tracking control strategy for second-order multi-agent autonomous systems. The protocol design uses states of the neighboring agents with directed communication topology in the presence of uncertainty associated with the autonomous agents. Robust adaptive learning algorithm uses with the protocol design for each follower agent to learn and adapt bounded uncertainty associated with nonlinear dynamics of the follower agents. Adaptive learning protocol also integrates with the follower agents protocol to learn and adapt bounded input of the leader. Lyapunov method with Graph, classical sliding mode, and terminal sliding mode theory use to guarantee that the proposed distributed control design can reach an agreement and follow the states of the leader in both finite-time and asymptotic sense. Analysis shows that consensus based protocol can force the states of the followers sliding surface to track the states of the leader sliding surface in finite-time and remain there. The proposed distributed consensus protocol does not require the exact bound of the uncertainty associated with the follower agents. Also, the proposed protocol does not require the exact bound of the leader input as opposed to other distributed cooperative control designs. Evaluation results with comparison are presented to demonstrate the validity of the theoretical argument for the real-time applications.},
	author = {Shafiqul Islam and Nicolas Xiros}
}
@proceedings {427,
	title = {Robust Cooperative Load-Frequency Tracking Protocols for Leader-Follower Smart Power Grid Networks With Uncertainty},
	year = {2019},
	month = {11/2019},
	publisher = {IEEE},
	address = {Italy},
	doi = {10.1109/SMC.2019.8914446},
	author = {Shafiqul Islam and Abdulmotaleb El Saddik}
}
@conference {410,
	title = {ROS-CBT: Communication Benchmarking Tool for the Robot Operating System: Extended Abstract},
	booktitle = {International Symposium on Multi-Robot and Multi-Agent Systems (MRS)},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	address = {New Brunswick, NJ, USA},
	abstract = {Simulation plays a critical role in robotics as it allows verification and it provides evaluations of robot software before real world deployment. One prevalent limitation of robotic simulators that support the Robot Operating System, ROS - a de facto standard for developing robotic software - is the absence of communication simulators. This poses a serious challenge in testing software for multi-robot systems (MRS) that use explicit communication, hence limiting the development of this technology. Figure 1 illustrates the problem tackled in this paper.},
	doi = {10.1109/MRS47350.201910.1109/MRS.2019.8901094},
	url = {https://ieeexplore.ieee.org/document/8901094/},
	author = {Masaba, Kizito and Quattrini~Li, Alberto}
}
@article {nair2018robust,
	title = {Robust adaptive gain higher order sliding mode observer based control-constrained nonlinear model predictive control for spacecraft formation flying},
	journal = {IEEE/CAA Journal of Automatica Sinica},
	volume = {5},
	number = {1},
	year = {2018},
	pages = {367{\textendash}381},
	publisher = {IEEE},
	author = {Nair, Ranjith Ravindranathan and Behera, Laxmidhar}
}
@conference {caccamo2017rcamp,
	title = {RCAMP: A resilient communication-aware motion planner for mobile robots with autonomous repair of wireless connectivity},
	booktitle = {2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2017},
	pages = {2010{\textendash}2017},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Caccamo, Sergio and Parasuraman, Ramviyas and Freda, Luigi and Gianni, Mario and {\"O}gren, Petter}
}
@conference {nair2015robust,
	title = {Robust adaptive gain nonsingular fast terminal sliding mode control for spacecraft formation flying},
	booktitle = {Decision and Control (CDC), 2015 IEEE 54th Annual Conference on},
	year = {2015},
	pages = {5314{\textendash}5319},
	publisher = {IEEE},
	organization = {IEEE},
	author = {Nair, Ranjith Ravindranathan and Behera, Laxmidhar}
}
@conference {43,
	title = {RMASBench: Benchmarking Dynamic Multi-Agent Coordination in Urban Search and Rescue},
	booktitle = {Proc. of the 12th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2013)},
	year = {2013},
	abstract = {We propose RMASBench, a new benchmarking tool based on the RoboCup Rescue Agent simulation system, to easily compare coordination approaches in a dynamic rescue scenario. In particular, we offer simple interfaces to plug-in coordination algorithms without the need for implementing and tuning low-level agents behaviors. Moreover, we add to the realism of the simulation by providing a large scale crowd simulator, which exploits GPUs parallel architecture, to simulate the behavior of thousands of agents in real time. Finally, we focus on a specific coordination problem where fire fighters must combat fires and prevent them from spreading across the city. We formalize this problem as a Distributed Constraint Optimization Problem and we compare two state-of-the art solution techniques: DSA and MaxSum. We perform an extensive empirical evaluation of such techniques considering several standard measures for performance (e.g. damages to buildings) and coordination overhead (e.g., message exchanged and non concurrent constraint checks). Our results provide interesting insights on limitations and benefits of DSA and MaxSum in our rescue scenario and demonstrate that RMASBench offers powerful tools to compare coordination algorithms in a dynamic environment.},
	keywords = {agent coordination, agent simulation, DCOP, performance metrics},
	isbn = {978-1-4503-1993-5},
	url = {http://dl.acm.org/citation.cfm?id=2484920.2485139},
	author = {A. Kleiner and A. Farinelli and S. Ramchurn and B. Shi and F. Maffioletti and R. Reffato}
}
@article {40,
	title = {RoboCup Rescue Robot and Simulation Leagues},
	journal = {AI Magazine},
	volume = {34},
	year = {2013},
	pages = {78{\textendash}87},
	abstract = {The RoboCup Rescue Robot and Simulation competitions have been held since 2000. The experience gained during these competitions has increased the maturity level of the field, which allowed deploying robots after real disasters (e.g. Fukushima Daiichi nuclear disaster). This article provides an overview of these competitions and highlights the state of the art and the lessons learned.},
	author = {H. L. Akin and N. Ito and A. Jacoff and A. Kleiner and J. Pellenz and A. Visser}
}
@conference {98,
	title = {Rigidity Maintenance Control for Multi-Robot Systems},
	booktitle = {2012 Robotics: Science and Systems Conference},
	year = {2012},
	month = {07/2012},
	address = {Sydney, Australia},
	abstract = {Rigidity of formations in multi-robot systems is important for formation control, localization, and sensor fusion. This work proposes a rigidity maintenance gradient controller for a multi-agent robot team. To develop such a controller, we first provide an alternative characterization of the rigidity matrix and use that to introduce the novel concept of the rigidity eigenvalue. We provide a necessary and sufficient condition relating the positivity of the rigidity eigenvalue to the rigidity of the formation. The rigidity maintenance controller is based on the gradient of the rigidity eigenvalue with respect to each robot position. This gradient has a naturally distributed structure, and is thus amenable to a distributed implementation. Additional requirements such as obstacle and inter-agent collision avoidance, as well as typical constraints such as limited sensing/communication ranges and line-of-sight occlusions, are also explicitly considered. Finally, we present a simulation with a group of seven quadrotor UAVs to demonstrate and validate the theoretical results.},
	keywords = {Decentralized control, Formation control, Motion control of multiple robots, Multi-robot systems, Rigidity mainenance},
	author = {Daniel Zelazo and Antonio Franchi and Frank Allg{\"o}wer and Heinrich H. B{\"u}lthoff and Paolo Robuffo Giordano}
}
@conference {362,
	title = {Recycling controllers},
	booktitle = {2008 IEEE International Conference on Automation Science and Engineering (CASE 2008)2008 IEEE International Conference on Automation Science and Engineering},
	year = {2008},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Arlington, VA},
	isbn = {978-1-4244-2022-3},
	doi = {10.1109/COASE.2008.4626521},
	url = {http://ieeexplore.ieee.org/document/4626521/http://xplorestaging.ieee.org/ielx5/4622934/4626395/04626521.pdf?arnumber=4626521},
	author = {Kress-Gazit, Hadas and Ayanian, Nora and Pappas, George J. and Kumar, Vijay}
}
@conference {HKG:NA:CASE08,
	title = {Recycling controllers},
	booktitle = {IEEE International Conf. on Automation Science and Engineering},
	year = {2008},
	month = {Aug},
	pages = {772-777},
	address = {Washington, DC},
	keywords = {atomic controller, automata theory, collision avoidance, control scheme design, control system synthesis, deadlock reduction, discrete automaton, heterogeneous robot team, mobile robots, Multi-robot systems, recycling controller},
	doi = {10.1109/COASE.2008.4626521},
	author = {Hadas Kress-Gazit and Nora Ayanian and George J. Pappas and Vijay Kumar}
}
@conference {185,
	title = {Robust Multi-Robot Cooperation Through Dynamic Task Allocation and Precaution Routines},
	booktitle = {The 3rd International Conference on Informatics in Control, Automation and Robotics (ICINCO)},
	year = {2006},
	address = {Setubal, Portugal},
	author = {Sanem Sariel and Tucker Balch}
}
@conference {187,
	title = {Real Time Auction Based Allocation of Tasks for Multi-Robot Exploration Problem in Dynamic Environments},
	booktitle = {Integrating Planning into Scheduling: Papers from the 2005 AAAI Workshop, ed. Mark Boddy, Amedeo Cesta, and Stephen F. Smith, American Association for Artificial Intelligence (AAAI)},
	year = {2005},
	author = {Sanem Sariel and Tucker Balch}
}
