Extending The Lossy Spring-Loaded Inverted Pendulum Model with a Slider-Crank Mechanism
This work addresses a specific problem in robotics locomotion for dynamic systems like robots, offering an incremental improvement over existing hip torque actuation methods.
The authors tackled the challenge of controlling height in lossy Spring-Loaded Inverted Pendulum (SLIP) models, especially at slow speeds or zero horizontal movement, by proposing a new SLIP-SCM model with a slider-crank mechanism. They developed an approximate analytical solution and stability analysis, showing that the model achieves stable limit-cycle behavior in vertical constraints.
Spring Loaded Inverted Pendulum (SLIP) model has a long history in describing running behavior in animals and humans as well as has been used as a design basis for robots capable of dynamic locomotion. Anchoring the SLIP for lossy physical systems resulted in newer models which are extended versions of original SLIP with viscous damping in the leg. However, such lossy models require an additional mechanism for pumping energy to the system to control the locomotion and to reach a limit-cycle. Some studies solved this problem by adding an actively controllable torque actuation at the hip joint and this actuation has been successively used in many robotic platforms, such as the popular RHex robot. However, hip torque actuation produces forces on the COM dominantly at forward direction with respect to ground, making height control challenging especially at slow speeds. The situation becomes more severe when the horizontal speed of the robot reaches zero, i.e. steady hoping without moving in horizontal direction, and the system reaches to singularity in which vertical degrees of freedom is completely lost. To this end, we propose an extension of the lossy SLIP model with a slider-crank mechanism, SLIP- SCM, that can generate a stable limit-cycle when the body is constrained to vertical direction. We propose an approximate analytical solution to the nonlinear system dynamics of SLIP- SCM model to characterize its behavior during the locomotion. Finally, we perform a fixed-point stability analysis on SLIP-SCM model using our approximate analytical solution and show that proposed model exhibits stable behavior in our range of interest.