Quadrupedal Locomotion on Uneven Terrain With Sensorized Feet

Sensing of the terrain shape is crucial for legged robots deployed in the real world since the knowledge of the local terrain inclination at the contact points allows for an optimized force distribution that minimizes the risk of slipping. In this letter, we present a reactive locomotion strategy for torque controllable quadruped robots based on sensorized feet. Since the present approach works without exteroceptive sensing, it is robust against degraded vision. Inertial and force/torque sensors implemented in specially designed feet with articulated passive ankle joints measure the local terrain inclination and interaction forces. The proposed controller exploits the contact null-space in order to minimize the tangential forces to prevent slippage even in case of extreme contact conditions. We experimentally tested the proposed method in laboratory experiments and validated the approach with the quadrupedal robot ANYmal.

[1]  Jörg P. Müller,et al.  Control Architectures for Autonomous and Interacting Agents: A Survey , 1996, PRICAI Workshop on Intelligent Agent Systems.

[2]  Nicolas Herzig,et al.  Significance of the Compliance of the Joints on the Dynamic Slip Resistance of a Bioinspired Hoof , 2019, IEEE Transactions on Robotics.

[3]  Manuel A. Armada,et al.  Reliable, Built-in, High-Accuracy Force Sensing for Legged Robots , 2006, Int. J. Robotics Res..

[4]  Shigeo Hirose,et al.  The whisker sensor and the transmission of multiple sensor signals , 1989, Adv. Robotics.

[5]  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).

[6]  Peter Fankhauser,et al.  Dynamic locomotion and whole-body control for quadrupedal robots , 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[7]  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).

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

[9]  Hannes Sommer,et al.  Quadrupedal locomotion using hierarchical operational space control , 2014, Int. J. Robotics Res..

[10]  Marco Hutter,et al.  Dynamic Locomotion Through Online Nonlinear Motion Optimization for Quadrupedal Robots , 2018, IEEE Robotics and Automation Letters.

[11]  Gordon Cheng,et al.  Enhancing Biped Locomotion on Unknown Terrain Using Tactile Feedback , 2018, 2018 IEEE-RAS 18th International Conference on Humanoid Robots (Humanoids).

[12]  Darwin G. Caldwell,et al.  Design of the Hydraulically Actuated, Torque-Controlled Quadruped Robot HyQ2Max , 2017, IEEE/ASME Transactions on Mechatronics.

[13]  Peter Fankhauser,et al.  Perception-less terrain adaptation through whole body control and hierarchical optimization , 2016, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids).

[14]  Darwin G. Caldwell,et al.  Heuristic Planning for Rough Terrain Locomotion in Presence of External Disturbances and Variable Perception Quality , 2018, ECHORD++.

[15]  Sangbae Kim,et al.  MIT Cheetah 3: Design and Control of a Robust, Dynamic Quadruped Robot , 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[16]  Shigeo Hirose,et al.  TITAN VII: quadruped walking and manipulating robot on a steep slope , 1997, Proceedings of International Conference on Robotics and Automation.

[17]  Shuji Hashimoto,et al.  Haptic Sensing Foot System for Humanoid Robot and Ground Recognition With One-Leg Balance , 2011, IEEE Transactions on Industrial Electronics.

[18]  Sangbae Kim,et al.  Mini Cheetah: A Platform for Pushing the Limits of Dynamic Quadruped Control , 2019, 2019 International Conference on Robotics and Automation (ICRA).

[19]  Stefan Schaal,et al.  Optimal distribution of contact forces with inverse-dynamics control , 2013, Int. J. Robotics Res..

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

[21]  Darwin G. Caldwell,et al.  High-slope terrain locomotion for torque-controlled quadruped robots , 2016, Autonomous Robots.

[22]  Roland Siegwart,et al.  State estimation for legged robots on unstable and slippery terrain , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[23]  Peter Fankhauser,et al.  Robust Rough-Terrain Locomotion with a Quadrupedal Robot , 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

[24]  Christopher G. Atkeson,et al.  Optimization and learning for rough terrain legged locomotion , 2011, Int. J. Robotics Res..

[25]  Roland Siegwart,et al.  Dynamic trotting on slopes for quadrupedal robots , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[26]  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..

[27]  Jerry E. Pratt,et al.  Comprehensive summary of the Institute for Human and Machine Cognition’s experience with LittleDog , 2011, Int. J. Robotics Res..

[28]  Roland Siegwart,et al.  Hybrid Operational Space Control for Compliant Legged Systems , 2012, Robotics: Science and Systems.

[29]  Marco Hutter,et al.  Dynamic Locomotion on Slippery Ground , 2019, IEEE Robotics and Automation Letters.