Teams at Applied Industrial Technologies

Design and implement multi-agent optimization and real-time planning algorithms for autonomous decision-making. Develop temporal logic and constraint-satisfaction frameworks, probabilistic sequential decision models, and human-interpretable computational systems. Optimize and evaluate algorithm performance and solution quality within containerized Linux environments to support mission-oriented human-machine teaming across air, land, sea, and space domains.

Develop high-performance C++ core framework software enabling collaborative autonomy across air, ground, and maritime domains. Integrate with domain platforms, optimize real-time performance, create automation tooling, and collaborate with autonomy engineers and product teams.

Design and implement multi-agent optimization and planning algorithms for real-time decision-making and human-machine teaming. Develop temporal logic and constraint-satisfaction frameworks, model sequential decision processes under uncertainty, and build efficient, human-interpretable computational systems. Profile, evaluate, and optimize algorithm performance in containerized Linux environments, and collaborate on systems used across air, land, sea, and space domains with defense-focused deployment requirements.