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Unmanned Systems Lab
Artificial Intelligence, Learning, Autonomy, Human-Machine Collaboration
The increasing use of unmanned systems in numerous applications requires high-level intelligence for the much-needed learning and intelligence to reduce human workload and enhance low-barrier human-robot interaction. We are interested in developing innovative methods in machine learning, reinforcement learning, human-guided learning, and explainable and ethical AI to enhance smart sensing, data analytics, modeling, reasoning, decision making, safety, and human effectiveness.
Nature-Inspired Network Systems and Sciences
Network of agents is ubiquitous in the universe, from social to biological to management sciences. We are interested in understanding the fundamental mechanisms behind the complex behavior of network systems in nature, and designing engineering tools to assess, predict, and understand the fundamental limits and values of network systems in cooperative and competitive environments for the creation of new nature-inspired network systems.
Cyber-Physical Systems and Security
The increasing connection of physical systems in the cyber domain brings new capabilities by leveraging individual systems' unique capabilities, at the cost of severe security issues/threats. We are interested in uncovering security issues, analyzing the consequences, and constructing prediction and mitigation techniques to address security concerns of CPSs.
Trustworthiness and Applicability
Transition of the state-of-art research into practice requires verification and validation of new platforms, methods, tools, and approaches in real-world applications for trustworthiness and broad applications. We focus on the creation of real hardware and software to enable rapid technology assessment in both lab and outdoor environments via collaborating with our partners. We are interested in developing new benchmarks, datasets, and tools using real hardware and software by considering scenarios of great scientific and application values.
Research Support
We gratefully acknowledge the generous supports from the following funding sources:
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