This thesis proposes a bio-inspired compliant foot design to improve the walking efficiency and stability of bipedal robots by mimicking the functions of the human metatarsal arch and toes. The proposed foot integrates a spring-like arched mid-forefoo...
This thesis proposes a bio-inspired compliant foot design to improve the walking efficiency and stability of bipedal robots by mimicking the functions of the human metatarsal arch and toes. The proposed foot integrates a spring-like arched mid-forefoot structure and a compliant forefoot (toe) segment implemented with distributed flexures without discrete joints. By tuning the shape to achieve a practical heel-to-toe stiffness ratio (1.6:1), the design induces predictable heel-to-toe rollover, passive energy storage and release, and continuous CoP progression. A comprehensive pipeline from modeling, analysis, prototyping, simulation, to hardware walking was established. At the full-body level, a linear inverted pendulum-based reduced model combined with a two-channel (heel/toe) foot model was used to analyze the effects of compliance on GRF, support time, and disturbance rejection. At the foot level, an equivalent compliance model derived shape-stiffness mappings under closed-form stiffness ratio conditions, which were validated via FEA.