Corpus ID: 232146870

Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints

@article{Exarchos2021TaskSpecificDO,
  title={Task-Specific Design Optimization and Fabrication for Inflated-Beam Soft Robots with Growable Discrete Joints},
  author={Ioannis Exarchos and Brian H. Do and Fabio Stroppa and Margaret M. Coad and Allison M. Okamura and C. Karen Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.04942}
}
Soft robot serial chain manipulators with the capability for growth, stiffness control, and discrete joints have the potential to approach the dexterity of traditional robot arms, while improving safety, lowering cost, and providing an increased workspace, with potential application in home environments. This paper presents an approach for design optimization of such robots to reach specified targets while minimizing the number of discrete joints and thus construction and actuation costs. We… Expand
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References

SHOWING 1-10 OF 34 REFERENCES
Gradient-Based Adaptive Stochastic Search for Non-Differentiable Optimization
TLDR
The algorithm combines the robustness feature of stochastic search from considering a population of candidate solutions with the relative fast convergence speed of classical gradient methods by exploiting local differentiable structures. Expand
Dynamically Reconfigurable Discrete Distributed Stiffness for Inflated Beam Robots
TLDR
This paper presents an inflated beam robot that uses distributed stiffness changing sections enabled by positive pressure layer jamming to control or prevent buckling, and enables a number of new capabilities for inflated beam robots and tip-everting robots. Expand
Co-Learning of Task and Sensor Placement for Soft Robotics
TLDR
This work presents a neural architecture which processes on-board sensor information to learn a salient and sparse selection of placements for optimal task performance and demonstrates superior performance in task learning to algorithmic and human baselines while also learning sensor placements and latent spaces that are semantically meaningful. Expand
3D Electromagnetic Reconfiguration Enabled by Soft Continuum Robots
TLDR
A novel strategy that utilizes soft continuum robots to both dynamically assemble electrical pathways and mechanically reconfigure 3D electromagnetic devices to introduce a new paradigm for electromagnetic reconfiguration using soft robotic platforms. Expand
A Dexterous Tip-extending Robot with Variable-length Shape-locking
TLDR
A concept for shape-locking that enables a vine robot to move only its distal tip, while the body is locked in place is presented and allows improved performance for vine robots, advancing the field of soft robotics for inspection and manipulation in highly constrained environments. Expand
An obstacle-interaction planning method for navigation of actuated vine robots
TLDR
This paper analyzes the behavior of vine robots interacting with their environment and proposes an obstacle-interaction model that characterizes the bending and wrinkling deformation induced by the environment that improves the capabilities of this new class of soft robot. Expand
Model-Based Design of a Soft 3-D Haptic Shape Display
TLDR
This work developed an automatic design algorithm for the display, so that a display can be custom-designed to reach a set of target shapes using a relatively small number of actuators. Expand
Robust navigation of a soft growing robot by exploiting contact with the environment
TLDR
This article mathematically formalizes interactions of a soft growing robot with a planar environment in an empirical kinematic model and develops a method to plan paths for the robot to a destination that is more robust to uncertainty. Expand
Simple, Low-Hysteresis, Foldable, Fabric Pneumatic Artificial Muscle
TLDR
A simple, highly conformable pneumatic artificial muscle made of a thin, single layer of woven, bias-cut fabric that is foldable when depressurized and behaves like a McKibben muscle when pressurized, but without the friction of a bladder or braided sheath is presented. Expand
Vine Robots: Design, Teleoperation, and Deployment for Navigation and Exploration
TLDR
A vine robot system that is teleoperated using a custom-designed flexible joystick and camera system, can extend long enough for use in navigation tasks, and is portable for use outside the lab and in the field is presented. Expand
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