Max Robotics — Global Service Robot Directory + US Certification

About

Venus Pasandi’s research sits at the intersection of bio-inspired control and practical robotics, with a focus on generating and modulating cyclic motions for locomotion and manipulation. Her most influential work centers on **programmable central pattern generators (CPGs)** —neural-inspired circuits that produce rhythmic, bounded outputs for robotic systems. In her highly cited 2022 paper (15 citations), she introduced an integrated programmable CPG that enables online modulation of cyclic motions, offering a flexible and stable framework for tasks ranging from industrial manipulation to legged locomotion. This builds on her earlier 2020 CPG design (11 citations), collectively establishing her as a key contributor to adaptive rhythmic control. Beyond CPGs, Pasandi has advanced robotic simulation through her **open-source MATLAB/Simulink simulator for floating-base systems** (2022–2023, 5 combined citations). This tool bridges programmatic and block-diagram approaches, making it accessible for researchers designing controllers for manipulators and ground-contact robots. Her work is notable for its practical impact—providing both theoretical foundations and ready-to-use implementations—and for its potential to accelerate development in dynamic, contact-rich robotics. With a growing citation record and contributions that blend neuroscience principles with engineering utility, Pasandi is shaping how robots move with precision and adaptability.