Improved energy efficiency via parallel elastic elements for the straight-legged vertically-compliant robot SLIDER
File(s)Wang_CLAWAR-2021.pdf (2.36 MB)
Accepted version
Author(s)
Wang, Ke
Saputra, Roni Permana
Foster, James Paul
Kormushev, Petar
Type
Conference Paper
Abstract
Most state-of-the-art bipedal robots are designed to be anthropomorphic, and therefore possess articulated legs with knees. Whilst
this facilitates smoother, human-like locomotion, there are implementation issues that make walking with straight legs difficult. Many robots
have to move with a constant bend in the legs to avoid a singularity
occurring at the knee joints. The actuators must constantly work to
maintain this stance, which can result in the negation of energy-saving
techniques employed. Furthermore, vertical compliance disappears when
the leg is straight and the robot undergoes high-energy loss events such as
impacts from running and jumping, as the impact force travels through
the fully extended joints to the hips. In this paper, we attempt to improve energy efficiency in a simple yet effective way: attaching bungee
cords as elastic elements in parallel to the legs of a novel, knee-less biped
robot SLIDER, and show that the robot’s prismatic hip joints preserve
vertical compliance despite the legs being constantly straight. Due to
the nonlinear dynamics of the bungee cords and various sources of friction, Bayesian Optimization is utilized to find the optimals configuration
of bungee cords that achieves the largest reduction in energy consumption. The optimal solution found saves 15% of the energy consumption
compared to the robot configuration without parallel elastic elements.
Additional Video: https://youtu.be/ZTaG9−Dz8A
this facilitates smoother, human-like locomotion, there are implementation issues that make walking with straight legs difficult. Many robots
have to move with a constant bend in the legs to avoid a singularity
occurring at the knee joints. The actuators must constantly work to
maintain this stance, which can result in the negation of energy-saving
techniques employed. Furthermore, vertical compliance disappears when
the leg is straight and the robot undergoes high-energy loss events such as
impacts from running and jumping, as the impact force travels through
the fully extended joints to the hips. In this paper, we attempt to improve energy efficiency in a simple yet effective way: attaching bungee
cords as elastic elements in parallel to the legs of a novel, knee-less biped
robot SLIDER, and show that the robot’s prismatic hip joints preserve
vertical compliance despite the legs being constantly straight. Due to
the nonlinear dynamics of the bungee cords and various sources of friction, Bayesian Optimization is utilized to find the optimals configuration
of bungee cords that achieves the largest reduction in energy consumption. The optimal solution found saves 15% of the energy consumption
compared to the robot configuration without parallel elastic elements.
Additional Video: https://youtu.be/ZTaG9−Dz8A
Date Issued
2021-08
Date Acceptance
2021-07-01
Citation
Proc. 24th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR 2021), 2021, pp.129-140
Publisher
Springer
Start Page
129
End Page
140
Journal / Book Title
Proc. 24th International Conference on Climbing and Walking Robots and Support Technologies for Mobile Machines (CLAWAR 2021)
Copyright Statement
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG. The final publication is available at Springer via https://doi.org/10.1007/978-3-030-86294-7_12
Identifier
https://link.springer.com/chapter/10.1007/978-3-030-86294-7_12
Source
24th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines
Subjects
Science & Technology
Technology
Robotics
Bipedal robot
Parallel elastic
Bayesian optimization
BIPEDAL WALKING
Place of Publication
Japan
Publication Status
Published
Start Date
2021-08-30
Finish Date
2021-09-01
Coverage Spatial
Takarazuka, Japan
Date Publish Online
2021-09-04