Papers
3
Total Citations
42
H-Index
3
About
Joseph Moore is a leading researcher in field robotics, with a focus on aerial manipulation, human-supervised autonomy, and safety-guaranteed motion planning for underactuated systems. His work bridges the gap between simulation and real-world deployment, addressing critical challenges in unmanned aerial vehicle (UAV) research. Moore’s highly cited 2024 survey on aerial robot simulators (19 citations) provides the first systematic comparison of high-fidelity simulation tools, enabling safer, more scalable development of perception and control algorithms without costly hardware testing. His pioneering 2016 paper on nested marsupial robotic systems (18 citations) introduced a novel human-supervised architecture where a bimanual mobile manipulator carries and deploys a quadrotor for search-and-sampling in constrained disaster environments—a concept that has influenced multi-robot coordination strategies. Most recently, Moore has advanced the frontier of safety-critical autonomy with his 2023 work on statistical robustness guarantees (5 citations), which provides formal probabilistic assurances for feedback motion planning of unknown stochastic systems. By jointly learning dynamics models from data, his method ensures runtime safety and goal reachability even under uncertainty. Moore’s contributions are shaping the future of resilient, autonomous robots operating in complex, unpredictable environments.
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