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Martin Stephen Garrad

7 accepted papers

2023

Digital Twin-Driven Mixed Reality Framework for Immersive Teleoperation With Haptic Rendering

RA-L 2023

Teleoperation has widely contributed to many applications. Consequently, the design of intuitive and ergonomic control interfaces for teleoperation has become crucial. The rapid advancement of Mixed Reality (MR) has yielded tangible benefits in human-robot interaction. MR provides an immersive envir

Cited by 21SourceScholar
2023

Tetraflex: A Multigait Soft Robot for Object Transportation in Confined Environments

RA-L 2023

Unstructured environments call for versatile robots with adaptable morphology that can perform multiple goal-directed actions including locomotion in confined spaces, environmental mapping, object retrieval and object manipulation. In response to these challenges, we present the Polyflex design conc

Cited by 12SourceScholar
2022

Design and Characterisation of a Muscle-Mimetic Dielectrophoretic Ratcheting Actuator

RA-L 2022

The high potential impact of soft robotics is hampered by a lack of actuators that combine high-force, high-work and high-power capabilities, limiting application in real-world problems. Typically, soft actuators are tuned to an application by gearing - for example, trading power for strain. An exam

Cited by 2SourceScholar
2022

RoboHeart: A Bi-Directional Zipping Actuator

RA-L 2022

Widespread adoption of soft robotic technologies is held back by the limitations of existing soft robotic actuators. One cause of the limited performance of soft actuators is their uni-polar stroke, which means only part of the work-cycle is powered. In this work, we introduce RoboHeart, a bi-direct

Cited by 4SourceScholar
2021

B: Ionic Glove: A Soft Smart Wearable Sensory Feedback Device for Upper Limb Robotic Prostheses

RA-L 2021

Upper limb robotic prosthetic devices currently lack adequate sensory feedback, contributing to a high rejection rate. Incorporating affective sensory feedback into these devices reduces phantom limb pain and increases control and acceptance. To address the lack of sensory feedback we present the B:

Cited by 29SourceScholar