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Yogev Attias

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Open access Jul 2026

A Hybrid RRT–PPO Framework for Leg-Based Object Manipulation of Quadruped Robots

A hybrid framework that couples Rapidly exploring Random Trees (RRT) for global motion planning with Proximal Policy Optimization (PPO) for local leg-pushing control is presented, evaluated in a CoppeliaSim simulation of a Spot-like quadruped pushing a box to a goal pose.

Yogev Attias, Chen Giladi · 0 citations

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