Transfer and Evaluation of Decentralized Reactive Swing-Leg Control on a Powered Robotic Leg
Animals and robots balance dynamically by placing their feet into proper ground targets. Our lab recently proposed a decentralized, reactive control approach for an ideal double pendulum dynamical system that places feet into ground targets for a wide range of initial conditions and in the presence of significant locomotion disturbances. While the controller's performance in simulation is promising, it was unclear if the approach could be used on real-world systems. This work transfers the control approach to hardware, and evaluates its performance on our legged test platform Robotic Neuromuscular Leg 2 (RNL2). Experiments show that the controller can be transferred to robotic systems and allow them to achieve accurate, robust foot placements, both when motion is undisturbed, as well as when obstacles are encountered in early, mid, and late swing. These results suggest that the proposed approach is a potential alternative control method for legged robots and powered prostheses, enabling recovery from sudden swing-leg disturbances such as trips and unexpected obstacle encounters. Ongoing work concerns the transfer of the swing-leg controller's neuromuscular interpretation to hardware, for which we are currently developing a new legged gait testbed with antagonistic mono- and bi-articular series elastic actuators.
A. Schepelmann, J. Austin, H. Geyer. Evaluation of Decentralized Reactive Swing-Leg Control on a Powered Robotic Leg. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (2015 IEEE/RSJ IROS), Hamburg, Germany, September 2015. (.pdf)
Design and Control of an Antagonistically Actuated Robotic Leg that Matches Human Performance
Muscle-reflex based neuromuscular locomotion models present a promising alternative to existing control approaches of powered, segmented robotic legs. A legged robotic platform that matches human performance is required to test the full ability of such controllers. The Robotic Neuromuscular Leg 1 (RNL1) represents the initial development steps of a robotic gait testbed that can implement and test neuromuscular-inspired control ideas on robotic hardware. The robot can deliver fast motions that characterize human locomotion and can generate antagonistic co-contraction seen in neuromuscular systems. RNL1 can reliably generate human-like leg motions with high positional accuracy for joint speeds up to 190rpm, approximately 90% of a similarly sized human's maximum knee joint velocity. Video of the leg is available here.
A. Schepelmann, M. D. Taylor, H. Geyer. Development of a Testbed for Robotic Neuromuscular Controllers. In Proceedings of the 2012 Robotics: Science and Systems Conference (2012 RSS), Sydney, Australia, July 2012. (.pdf)
Compact Nonlinear Springs with User Defined Torque-Deflection Profiles for Series Elastic Actuators
Series elastic actuators (SEAs) often use linear springs in their drivetrains, which requires design compromises between torque resolution and actuation bandwidth. Nonlinear springs (NLSs) with variable stiffness overcome this limitation. However current NLS designs rely on off-the-shelf metal springs, which increases their overall size, making them difficult to implement in compact and existing SEAs. This work is concerned with the development of an optimization-based synthesis method for NLSs that are compact and encode a user defined torque-deflection profile using elastic elements with an arbitrary stiffness profile. The developed prototype uses urethane rubber as its elastic element, resulting in a compact design that generates the desired torque profile. A state observer was then developed to account for rubber hysteresis using a hybrid constitutive rubber model that considers strain dependent stiffness. Torque control experiments with the NLS and the observer were performed on an actuator testbed and compared to the performance of soft and stiff linear metal springs. Experiments show that the NLS exhibits improved output impedance compared to both linear springs, and comparable bandwidth to the stiff linear spring up to 1.5 Hz. Hysteresis in the urethane rubber introduces instability in higher-frequency conditions, suggesting that future NLS designs can be improved by the use of a different rubber as the elastic element.
A. Schepelmann, K. A. Geberth, H. Geyer. Compact Nonlinear Springs with User Defined Torque-Deflection Profiles for Series Elastic Actuators. In Proceedings of the 2014 IEEE International Conference on Robotics and Automation (2014 IEEE ICRA), Hong Kong, China, May 2014. (.pdf)
J. Austin, A. Schepelmann, H. Geyer. Control and Evaluation of Series Elastic Actuators with Nonlinear Rubber Springs. In Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (2015 IEEE/RSJ IROS), Hamburg, Germany, September 2015. (.pdf)
Real-Time Drivable Terrain Identification via HSI Color and Visual Texture
As part of my Master's Thesis at Case Western Reserve University, I worked on "CWRU Cutter" (pronounced "crew cutter"), an autonomous lawnmower developed for outdoor power equipment manufacturer MTD Products Inc. My research utilized computer vision to identify drivable terrain in front of the robot based on HSI color and edge-based visual texture in real-time. This information was used for reactive obstacle avoidance. The ultimate goal of my research was to develop an economically feasible, robust alternative to the first prototype's "Light Detection and Ranging (LIDAR)" unit for use on future commercial versions of the robot.
Since 2008, the robot has been entered into the Institute of Navigation's annual Robotic Lawnmower Competition. In 2009 CWRU Cutter won 1st place utilizing a combination of LIDAR and computer vision. In 2010, CWRU Cutter again won 1st place relying solely on computer vision.
A. Schepelmann, R. Hudson, F. Merat, R. D. Quinn. Visual Segmentation of Lawn Grass for a Mobile Robotic Lawnmower. In Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems (2010 IEEE/RSJ IROS), Taipei, Taiwan, October 2010. (.pdf)
K. A. Daltorio, A. D. Rolin, J. A. Beno, B. E. Hughes, A. Schepelmann, J. Green, M. S. Branicky, R. D. Quinn. An Obstacle-Edging Reflex for an Autonomous Lawnmower. In Proceedings of the 2010 IEEE/ION Position Location and Navigation Symposium (2010 ION/IEEE PLANS), Indian Wells, CA, May 2010. (.pdf)
A. Schepelmann, H. Snow, B. E. Hughes, J. Green, F. Merat, R. D. Quinn. Vision-Based Obstacle Detection and Avoidance for the CWRU Cutter Autonomous Lawnmower. In Proceedings of the 2009 IEEE International Conference on Technologies for Practical Robot Applications (2009 IEEE TePRA), Woburn, MA, November 2009. (.pdf)
Trackball Design and Prototyping for Blaberus Discoidalis Locomotion Study
As part of the Biorobots Team Research group, I designed and prototyped a novel 3 degree-of-freedom (DOF) stationary trackball for Roy E. Ritzmann of Case Western Reserve University's Department of Biology. Dr. Ritzmann uses the device to study Blaberus discoidalis cockroach locomotion and gait types via high-speed video analysis. The trackball incorporates hydrodynamic lubrication principles to allow a tethered cockroach to translate and rotate in place while being filmed from multiple angles simultaneously. The prototype replaced Dr. Ritzmann's previously used 1 DOF oil film setup, which only allowed a tethered cockroach to translate.