employee from 01.01.2025 to 01.01.2025
Russian Federation
The meta-analysis quantitatively evaluates the technical characteristics (DoF, mass, COT, speed) and control methods (RL, ZMP, MPC) of humanoid robots. Using a random-effects model in RStudio, key metrics were established: a mean COT of 0.79, speed of 1.48 m/s, and a task success rate of 68.14%. The high efficiency of quasi-direct drives and reinforcement learning algorithms was confirmed. A classification of robots for medical, industrial, and domestic applications is proposed. The study systematizes data to optimize design and investment strategies through 2030, highlighting the need to enhance the autonomy and manipulation precision of anthropomorphic systems.
humanoid robots, meta-analysis, energy efficiency, robustness, ethical challenges
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