Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

Abstract: Factor graphs are graphical models used to represent a wide variety of problems across robotics, such as Structure from Motion (SfM), Simultaneous Localization and Mapping (SLAM) and ...

Abstract: In this paper, a novel Cauchy-Gaussian quantum-behaved bat algorithm (CGQBA) is applied to solve the economic load dispatch (ELD) problem. The bat algorithm (BA) is an acknowledged ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...

Selling to other businesses has never been simple, but in 2026 the game has shifted significantly. Buyers self-educate before ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

If your agentic AI project is failing, your problem is likely that you treated the integration work as somebody else's issue ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Hey! I'm a final-year PhD student at Carnegie Mellon University, co-advised by Matt O'Toole and Ioannis Gkioulekas. My research focuses on computational methods for designing geometric optics, where I ...

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