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Dynamic Fall Recovery Motion Generation on Biped Robot With Shell Protector

Kim-Ngoc-Khanh Nguyen, Yuta Kojio, Shintaro Noda, Fumihito Sugai, Kunio Kojima, Yohei Kakiuchi, Kei Okada, Masayuki Inaba

2021IEEE Robotics and Automation Letters16 citationsDOI

Abstract

Fall recovery after falling over is a critical feature for biped robots that work in the real world. We propose a method by considering robot joint angle trajectory as a multivariable function of time and orientation of robot root links. Compared with the conventional method, our method required less time and human effort, as the joint trajectory was autonomously optimized via evolutionary search in a dynamic simulator. In addition, the gap between simulation and real-world experiments could be narrowed by adding push disturbances when performing evolutionary search in the dynamic simulator. Using the proposed method, we successfully realized the fall-recovery feature on life-sized biped robot that was equipped with shell protector CHIDORI-F as depicted in <xref ref-type="fig" rid="fig1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Fig. 1</xref> . Combining the aforementioned fall-recovery feature and previously developed fall-tolerant robot hardware, fall detector and fall-damage-reduction motion, we realized a biped robot platform that could tolerate falling, recover from all the fallen states, and continue working for considerable time without a tether.

Topics & Concepts

RobotTrajectoryFalling (accident)Feature (linguistics)SimulationComputer scienceMotion (physics)Control theory (sociology)Artificial intelligencePhysicsEnvironmental healthLinguisticsMedicinePhilosophyAstronomyControl (management)Robotic Locomotion and ControlModular Robots and Swarm IntelligenceReinforcement Learning in Robotics
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