Max Robotics — Global Service Robot Directory + US Certification

About

George Psihoyios is a robotics researcher whose work bridges the gap between biological inspiration and mechanical control. His primary research areas include anthropomimetic robotics, brain-computer interfaces (BCI), and bio-inspired locomotion. Psihoyios’s most cited paper, “Control of Compliant Anthropomimetic Robot Joint” (13 citations), introduces a control strategy for a robot joint that mimics the human musculoskeletal system using agonist-antagonist actuators and compliant tendons—a nonlinear MIMO system that advances human-like robotics. His work on “Robot Control Through Brain Computer Interface For Patterns Generation” (7 citations) explores translating EEG signals into commands for assistive devices, offering promise for motor-disabled individuals. Psihoyios also contributed to human-like movement generation in anthropomorphic robots, inspired by the Posture-Based Motion-Planning Model, and developed a modular Central Pattern Generator (CPG) model for hexapod robot trajectory generation. His modeling and feed-forward control of elastic robots, as well as his involvement in the humanoid robot LOLA project—which aims for fast, human-like walking—further demonstrate his impact. With over 35 total citations, Psihoyios’s work is foundational for researchers in compliant robotics, neural control, and human-robot interaction.