Series-elastic actuation prototype for rough terrain hopping

In this paper, we describe development and modeling of a prototype hopping robot. The objective of our work is to create a test platform to verify control theory for fast, legged locomotion with limited sensor knowledge of upcoming, rough-terrain characteristics. Resulting running gaits aim to maximize the magnitude of unanticipated height variation, Δh, for which the hopper prototype can maintain reasonable control authority of the next apex state (and subsequent foothold). Toward quantifying controllability, we identify and quantify the range of states that our actuation strategy allows us to reach at the next apex height. We present the simplified model we use to calculate these reachable regions and provide corresponding system identification results, to justify the modeling assumptions used. This paper provides the following contributions to the field of practical robotics. First, we quantify the effectiveness of a real-world series-elastic actuation (SEA) strategy in allowing for simultaneous foothold planning and mitigation of perturbations. Second, we report on the deployment of a proof-of-concept, legged robot prototype being developed to test theoretical stance-phase control strategies.

[1]  Garth Zeglin,et al.  Control of a bow leg hopping robot , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[2]  Martin Buehler,et al.  Controlled passive dynamic running experiments with the ARL-monopod II , 2006, IEEE Transactions on Robotics.

[3]  B. Krauskopf,et al.  Proc of SPIE , 2003 .

[4]  Katie Byl,et al.  Enforced symmetry of the stance phase for the Spring-Loaded Inverted Pendulum , 2012, 2012 IEEE International Conference on Robotics and Automation.

[5]  Jessica K. Hodgins,et al.  Adjusting step length for rough terrain locomotion , 1991, IEEE Trans. Robotics Autom..

[6]  R. Blickhan,et al.  Spring-mass running: simple approximate solution and application to gait stability. , 2005, Journal of theoretical biology.

[7]  Marc H. Raibert,et al.  Running on four legs as though they were one , 1986, IEEE J. Robotics Autom..

[8]  Martin Buehler,et al.  Design, modeling and control of a hopping robot , 1993, Proceedings of 1993 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '93).

[9]  Daniel E. Koditschek,et al.  Toward the control of a multi-jointed, monoped runner , 1998, Proceedings. 1998 IEEE International Conference on Robotics and Automation (Cat. No.98CH36146).

[10]  Martin Buehler,et al.  A planar hopping robot with one actuator: design, simulation, and experimental results , 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

[11]  T. McMahon,et al.  The mechanics of running: how does stiffness couple with speed? , 1990, Journal of biomechanics.

[12]  Philip Holmes,et al.  A Simply Stabilized Running Model , 2005, SIAM Rev..

[13]  Nicholas Roy,et al.  Reliable Dynamic Motions for a Stiff Quadruped , 2009, ISER.

[14]  Jonathan Hurst,et al.  Force control for spring-mass walking and running , 2010, 2010 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

[15]  Kevin Blankespoor,et al.  BigDog, the Rough-Terrain Quadruped Robot , 2008 .

[16]  Jessy W. Grizzle,et al.  Monopedal running control: SLIP embedding and virtual constraint controllers , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[17]  Kale Harbick,et al.  Robustness Experiments for a Planar Hopping Control System , 2002 .

[18]  Ömer Morgül,et al.  Approximate analytic solutions to non-symmetric stance trajectories of the passive Spring-Loaded Inverted Pendulum with damping , 2010 .