@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 {wu2024online,
	title = {Online Adaptive Anomaly Detection in Networked Electrical Machines by Adaptive Enveloped Singular Spectrum Transformation},
	journal = {IEEE Internet of Things Journal},
	year = {2024},
	publisher = {IEEE},
	author = {Wu, Shushan and Yang, Bowen and Yang, He and Coshatt, Stephen J and Gong, Xilin and Parasuraman, Ramviyas Nattanmai and Conrad, Justin and Perdisci, Roberto and Zhong, Wenxuan and Ye, Jin and others}
}
@article {Hunt2020a,
	title = {SPIDER: a Bioinspired Swarm Algorithm for Adaptive Risk-Taking},
	journal = {Artificial Life Conference Proceedings},
	volume = {32},
	year = {2020},
	note = {doi: 10.1162/isal_a_00279},
	month = {7},
	pages = {44-51},
	publisher = {MIT Press},
	abstract = {Robot swarms can solve tasks that are impossible or too hazardous for single robots. For example, following a nuclear radiation leak, a user may wish to establish a distributed communication chain that partly extends into the most dangerous areas to gather new information. The challenge is to create long chains while maintaining chain connectivity (?connected reach?), where those at the distant end of the chain are more likely to be disconnected. Here we take the concept of dynamic ?boldness? levels from animal behavior (Stegodyphus social spiders) to explore such risky environments in a way that adapts to the size of the group. Boldness is implemented as a continuous variable associated with the risk appetite of individuals to explore regions more distant from a central base. We present a decentralized mechanism for robots, based on the frequency of their social interactions, to adaptively take on ?bold? and ?shy? behaviors. Using this new bioinspired algorithm, which we call SPIDER, swarms are shown to adapt rapidly to the loss of bold individuals by regenerating a suitable shy?bold distribution, with fewer bolder individuals in smaller groups. This allows them to dynamically trade-off the benefits and costs of long chains (information retrieval versus loss of robots) and demonstrates the particular advantage of this approach in hazardous or adversarial environments.},
	doi = {10.1162/isal_a_00279},
	url = {https://www.mitpressjournals.org/doi/abs/10.1162/isal_a_00279},
	author = {Edmund R Hunt and George Jenkinson and Michael Wilsher and Carl P Dettmann and Sabine Hauert}
}
@article {kim2019soft,
	title = {Soft-packaged sensory glove system for human-like natural interaction and control of prosthetic hands},
	journal = {NPG Asia Materials},
	volume = {11},
	number = {1},
	year = {2019},
	pages = {43},
	publisher = {Nature Publishing Group UK London},
	author = {Kim, Min Ku and Parasuraman, Ramviyas Nattanmai and Wang, Liu and Park, Yeonsoo and Kim, Bongjoong and Lee, Seung Jun and Lu, Nanshu and Min, Byung-Cheol and Lee, Chi Hwan}
}
@conference {375,
	title = {Multi-Agent Path Finding with Deadlines},
	booktitle = {International Joint Conference on Artificial Intelligence (IJCAI)},
	year = {2018},
	keywords = {conference},
	author = {Hang Ma and Glenn Wagner and Ariel Felner and Jiaoyang Li and T. K. Satish Kumar and Sven Koenig}
}
@conference {376,
	title = {Multi-Agent Path Finding with Deadlines: Preliminary Results},
	booktitle = {International Conference on Autonomous Agents and Multiagent Systems (AAMAS)},
	year = {2018},
	author = {Hang Ma and Glenn Wagner and Ariel Felner and Jiaoyang Li and T. K. Satish Kumar and Sven Koenig}
}
@article {214,
	title = {Integration of hardware and software designs for object grasping and transportation by a mobile robot with navigation guidance via a unique bearing-alignment mechanism},
	journal = {IEEE/ASME Transactions on Mechatronics},
	volume = {21},
	year = {2016},
	pages = {576-583},
	author = {J. Wu and X. Yue and W. Li}
}
@conference {191,
	title = {The Optimism Principle: A Unified Framework for Optimal Robotic Network Deployment in An Unknown Obstructed Environment},
	booktitle = {IEEE/RSJ Intl Conf. Intelligent Robots and Systems},
	year = {2015},
	month = {Sept.},
	address = {Hamburg, Germany},
	author = {Shangxing Wang and Bhaskar Krishnamachari and Nora Ayanian}
}
@conference {367,
	title = {The optimism principle: A unified framework for optimal robotic network deployment in an unknown obstructed environment},
	booktitle = {2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
	year = {2015},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Hamburg, Germany},
	doi = {10.1109/IROS.2015.7353728},
	url = {http://ieeexplore.ieee.org/document/7353728/http://xplorestaging.ieee.org/ielx7/7347169/7353104/07353728.pdf?arnumber=7353728},
	author = {Wang, Shangxing and Krishnamachari, Bhaskar and Ayanian, Nora}
}
@conference {WagnerSubdimensional2012,
	title = {Subdimensional Expansion and Optimal Task Reassignment},
	booktitle = {AAAI Symposium on Combinatorial Search},
	year = {2012},
	month = {July},
	address = {Niagara Falls, ON, Canada},
	author = {Glenn Wagner and Howie Choset and Nora Ayanian}
}
@conference {NA:PW:AH:MR08,
	title = {Stochastic Control for Self-Assembly of {XB}ots},
	booktitle = {ASME Mechanisms and Robotics Conference},
	volume = {2},
	year = {2008},
	month = {August},
	pages = {1169-1176},
	address = {New York, NY},
	author = {Nora Ayanian and Paul White and Adam Hal{\'a}sz and Mark Yim and Vijay Kumar}
}
