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HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot With Polyhedral Parallel Modules (2011.14240v1)

Published 29 Nov 2020 in cs.RO

Abstract: There is a surge of research interest in the field of tensegrity robotics. Robots developed under this paradigm provide many advantages and have distinguishing features in terms of structural compliance, dexterity, safety, and weight reduction. This paper proposes a new robotic mechanism based on tensegrity ('tension-integrity') robots and reconfigurable modular robots. The specific actuation schemes for this tensegrity robot with multiple degrees of freedom are presented. This article describes an easy-to-assemble 350 mm tensegrity based robot prototype by stacking a series of rigid struts linked with tensegrity joints that have no direct rigid contact with each other. The functionality of the proposed robot is validated by the experimental results by integrating the polyhedral parallel structure as its skeleton and series of tensegrity joints. The proposed manipulator is capable of reaching bending angles up to 76 degrees. An adaptive cable driven underactuated robotic gripper is designed and attached to the tensegrity manipulator for grasping objects in different shapes, weights, and sizes.

Citations (8)

Summary

  • The paper introduces HEDRA, a novel modular tensegrity robot that integrates bio-inspired design to achieve high flexibility and safe operation.
  • The methodology employs polyhedral parallel modules and the force density method to enable precise inverse kinematics and adaptable control.
  • Experimental results demonstrate HEDRA’s capability to perform complex bending, twisting, and object manipulation through innovative actuation strategies.

An Academic Insight into HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot

The paper "HEDRA: A Bio-Inspired Modular Tensegrity Soft Robot With Polyhedral Parallel Modules" presents a novel approach to the development of tensegrity robotics, merging biomimetics with cutting-edge structural concepts. The paper introduces a 350 mm prototype that leverages the mechanical advantages of tensegrity structures—namely, their inherent compliance, dexterity, safety, and lightweight characteristics. HEDRA, the robot developed in this research, is composed of modular elements linked without rigid connections, allowing for a significant degree of articulation.

Key Concepts and Design

The HEDRA robot utilizes a series of rigid struts connected through tensegrity joints capable of bending up to 76 degrees. This configuration is informed by bio-inspired principles and tensegrity paradigms, which emphasize the equilibrium of forces across a network of tensioned cables and compressive rods. Existing frameworks are often complicated by an excessive number of components, making assembly and sensor integration cumbersome. HEDRA addresses this by providing a base for simplified construction, thus bridging simulation and physical application with a focus on novel geometries.

The system's architecture includes reconfigurable modules that enhance the robot's versatility in different practical contexts, such as its adaptive end-effector that integrates vision-based systems for object recognition and manipulation. HEDRA is equipped with a gripper mechanism capable of handling various objects, expanding its potential use cases in human-robot collaboration and soft robotics applications.

Experimental Validation

The experimental phase of the research validates the robot’s capacity for complex movement, achieving significant angles of motion through deliberate cable tensions. Several actuation strategies were tested, demonstrating HEDRA’s ability to transition smoothly between bending, twisting, and contracting maneuvers. Data from these trials underscore the manipulator's adept control over its conformation, directly influencing its ability to perform tasks such as object grasping and manipulation.

Theoretical Implications and Future Directions

The research contributes to the theoretical discourse on tensegrity structures by applying the force density method to solve inverse kinematics, facilitating precise control of the robot's posture. This methodology could prove pivotal for the development of adaptive control algorithms capable of autonomously positioning similar structures under varying loads and geometric constraints.

Practically, this work advances the understanding of soft robotics by demonstrating how tensegrity designs can be effectively implemented to create robots that are both versatile and safe to use in proximity to humans. Future research could expand on this foundation, exploring more intricate control schemes and sensor integrations to enhance HEDRA's autonomous capabilities. Additionally, knowing the effects of environmental interactions on performance could lead to further improvements in robotic resilience and adaptability.

In summary, the paper makes significant contributions to both theoretical and applied robotics by presenting HEDRA as a tangible example of how tensegrity concepts can be materialized into practical robotic systems. It opens avenues for future research on how these designs can be customized and scaled for various engineering challenges and applications.

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