SOURCE-LINKED INTELLIGENCE
Walking on the Slope: Stable Bipedal Gaits with Genetic-Algorithm-Optimized Trajectories
This paper presents the kinematic and dynamic modeling, trajectory generation, and stability analysis of an 8-degree-of-freedom (DOF) biped robot walking on flat and inclined terrain. Denavit-Hartenberg (DH) parameters and homogeneous transformations are used to derive the forward kinematics, while closed-form inverse kinematics maps the desired hip and swing-foot Cartesian trajectories, generated with cubic splines, to joint angles. Joint torques are computed using the Newton-Euler iterative algorithm, and dynamic stability is evaluated using the zero moment point (ZMP) criterion. A genetic a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T15:30:58.000Z
First collected: 2026-09-19T20:28:14.107Z. This is not the publication date.