Stable and Robust SLIP Model Control via Energy Conservation-Based Feedback Cancellation for Quadrupedal Applications
Muhammad Saud Ul Hassan, Derek Vasquez, Hamza Asif, Christian Hubicki
- Year
- 2025
- Access
- Open access
Abstract
In this paper, we present an energy-conservation based control architecture for stable dynamic motion in quadruped robots. We model the robot as a Spring-loaded Inverted Pendulum (SLIP), a model well-suited to represent the bouncing motion characteristic of running gaits observed in various biological quadrupeds and bio-inspired robotic systems. The model permits leg-orientation control during flight and leg-length control during stance, a design choice inspired by natural quadruped behaviors and prevalent in robotic quadruped systems. Our control algorithm uses the reduced-order SLIP dynamics of the quadruped to track a stable parabolic spline during stance, which is calculated using the principle of energy conservation. Through simulations based on the design specifications of an actual quadruped robot, Ghost Robotics Minitaur, we demonstrate that our control algorithm generates stable bouncing gaits. Additionally, we illustrate the robustness of our controller by showcasing its ability to maintain stable bouncing even when faced with up to a 10% error in sensor measurements.
Keywords
Related papers
Trajectory tracking control for 6WID/4WIS UGV via nonlinear sliding mode-model predictive control with adaptive following steering and dynamic-static constraints
Shengyang Lu, Guanpeng Chen, Lijing Zhao +2 more
Robotics and Autonomous Systems · 2026
Bioinspired underwater robotics: Advances across the materials, design, control, and applications
Dilip Muchhala, Pramod Kumar Maurya, Adarsh Raut +3 more
Robotics and Autonomous Systems · 2026
Modeling and control of a rigid–soft hybrid-link humanoid robot
Zewen He, Taiki Ishigaki, Ko Yamamoto
Robotics and Autonomous Systems · 2026
Artificial pushing adaptive coordinated control for the human-exoskeleton-walker system
Xinhao Zhang, Chen Yang, Chaobin Zou +4 more
Robotics and Autonomous Systems · 2026