Towards a Passive Adaptive Planar Foot with Ground Orientation and Contact Force Sensing for Legged Robots

Adapting to the ground enables stable footholds in legged locomotion by exploiting the structure of the terrain. On that account, we present a passive adaptive planar foot with three rotational degrees of freedom that is lightweight and thus suited for highly dynamic legged robots. Its low laying pivot joint provides high stability towards kinking. Information about the relative foot sole pose, and accordingly, the ground orientation is gathered by inertial measurement units (IMUs) placed on the foot sole and the shank. A complementary filter is presented that fuses these orientation estimates with an angular encoder to obtain a drift-free relative foot sole pose. The passive adaptive planar foot has been tested and compared to the classical point foot design on a variety of terrains and shows superior traction performance, especially on compressible soils. Being mounted on the quadrupedal robot ANYmal, the foot provides a reliable contact detection based on the fusion of the built-in 6-axis force/torque transducer and the IMUs. This allows to walk and trot on uneven terrain, loose soils, as well as climbing up a ramp and stairs while keeping the entire foot sole in ground contact all the time.

[1]  Thrishantha Nanayakkara,et al.  The role of morphological computation of the goat hoof in slip reduction , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[2]  Jun-Ho Oh,et al.  Mechanical design of humanoid robot platform KHR-3 (KAIST Humanoid Robot 3: HUBO) , 2005, 5th IEEE-RAS International Conference on Humanoid Robots, 2005..

[3]  Robert B. McGhee,et al.  An extended Kalman filter for quaternion-based orientation estimation using MARG sensors , 2001, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180).

[4]  K. Kaufman,et al.  A two-axis cable-driven ankle-foot mechanism , 2014, ROBIO 2014.

[5]  Alexander Spröwitz,et al.  ATRIAS: Design and validation of a tether-free 3D-capable spring-mass bipedal robot , 2016, Int. J. Robotics Res..

[6]  Heinz Ulbrich,et al.  Humanoid robot Lola: Design and walking control , 2009, Journal of Physiology-Paris.

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

[8]  F. Kirchner,et al.  An adaptive sensor foot for a bipedal and quadrupedal robot , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[9]  Kenichi Ogawa,et al.  Honda humanoid robots development , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  Kenichi Narioka,et al.  Humanlike ankle-foot complex for a biped robot , 2012, 2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012).

[11]  J Perry,et al.  Below-knee amputee gait with dynamic elastic response prosthetic feet: a pilot study. , 1990, Journal of rehabilitation research and development.

[12]  Manuel G. Catalano,et al.  Toward an adaptive foot for natural walking , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[13]  Jizhong Xiao,et al.  Keeping a Good Attitude: A Quaternion-Based Orientation Filter for IMUs and MARGs , 2015, Sensors.

[14]  Thomas Seel,et al.  IMU-Based Joint Angle Measurement for Gait Analysis , 2014, Sensors.

[15]  Sebastian Madgwick,et al.  Estimation of IMU and MARG orientation using a gradient descent algorithm , 2011, 2011 IEEE International Conference on Rehabilitation Robotics.

[16]  Peter Fankhauser,et al.  ANYmal - toward legged robots for harsh environments , 2017, Adv. Robotics.

[17]  Hendrik Kolvenbach,et al.  Efficient Gait Selection for Quadrupedal Robots on the Moon and Mars , 2018 .

[18]  Alena M. Grabowski,et al.  Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation , 2012, Proceedings of the Royal Society B: Biological Sciences.

[19]  Albert Wang,et al.  Design principles for highly efficient quadrupeds and implementation on the MIT Cheetah robot , 2013, 2013 IEEE International Conference on Robotics and Automation.

[20]  Kenji KANEKO,et al.  Humanoid robot HRP-3 , 2004, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[21]  Ken Shoemake,et al.  Animating rotation with quaternion curves , 1985, SIGGRAPH.

[22]  Peter Fankhauser,et al.  Foot Contact Estimation for Legged Robots in Rough Terrain , 2016 .

[23]  Angelo M. Sabatini,et al.  Kalman-Filter-Based Orientation Determination Using Inertial/Magnetic Sensors: Observability Analysis and Performance Evaluation , 2011, Sensors.

[24]  Nikolaos G. Tsagarakis,et al.  WALK-MAN humanoid lower body design optimization for enhanced physical performance , 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

[25]  Peter Fankhauser,et al.  Towards a Generic Solution for Inspection of Industrial Sites , 2017, FSR.

[26]  T.G. Sugar,et al.  SPARKy 3: Design of an active robotic ankle prosthesis with two actuated degrees of freedom using regenerative kinetics , 2008, 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics.

[27]  Alfred A. Rizzi,et al.  The LittleDog robot , 2011, Int. J. Robotics Res..