Andrea Minari

Papers

Total Citations

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About

Andrea Minari is a robotics researcher whose work centers on the optimal control and motion planning of robotic manipulators, with a particular focus on time-critical industrial applications. His most notable contribution is a 2019 paper on "Optimal Time-Complexity Speed Planning for Robot Manipulators," which presents a novel algorithm for computing the time-optimal speed law along a predefined path. This algorithm uniquely balances velocity, acceleration, and actuator torque constraints, achieving a provably optimal solution with minimal computational overhead—a critical advancement for real-time robotic systems. Though his citation count (4) is modest, the work addresses a fundamental bottleneck in automation: maximizing throughput without sacrificing safety or precision. Minari’s approach is distinguished by its rigorous mathematical formulation and practical applicability, offering a direct path to faster, more efficient robot operations in manufacturing and assembly lines. His research sits at the intersection of optimization theory and mechatronic system design, providing engineers with a principled method for squeezing every ounce of performance from existing hardware. For students and researchers in robotics, Minari’s work exemplifies how elegant algorithmic design can solve hard, real-world problems in motion control.