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Stephen J. Redmond

9 accepted papers

2026

A Neuromorphic Incipient Slip Detection System Using Papillae Morphology

RA-L 2026

Detecting incipient slip enables early intervention to prevent object slippage and enhance robotic manipulation safety. Achieving this requires tactile interfaces with compliant, high-sensitivity skins that amplify local deformation differences and tactile sensing pipelines that preserve and exploit

Cited by 0SourceScholar
2026

Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing With the PapillArray Tactile Sensor

RA-L 2026

Timely detection of incipient slip is critical for delicate robotic grasping and dexterous manipulation. However, existing learning-based methods suffer from detection latency and high computational demands. In this paper, we present an ultra-fast lightweight incipient slip detection framework based

Cited by 0SourceScholar
2026

Ultra-Fast Lightweight Incipient Slip Detection Using Hyperdimensional Computing with the PapillArray Tactile Sensor

ICRA 2026poster

Timely detection of incipient slip is critical for delicate robotic grasping and dexterous manipulation. However, existing learning-based methods suffer from detection latency and high computational demands. In this paper, we present an ultra-fast lightweight incipient slip detection framework based…

Cited by 0SourceScholar
2024

Identifying Expert Behavior in Offline Training Datasets Improves Behavioral Cloning of Robotic Manipulation Policies

RA-L 2024

This letter presents our solution for the Real Robot Challenge III <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> , aiming to address dexterous robotic manipulation tasks through learning from offline data. In this competition, participants wer

Cited by 13SourcecodeScholar
2024

Robust Learning-Based Incipient Slip Detection Using the PapillArray Optical Tactile Sensor for Improved Robotic Gripping

RA-L 2024

The ability to detect slip, particularly incipient slip, enables robotic systems to take corrective measures to prevent a grasped object from being dropped. Therefore, slip detection can enhance the overall security of robotic gripping. However, accurately detecting incipient slip remains a signific

Cited by 9SourceScholar
2023

Improving Behavioural Cloning with Positive Unlabeled Learning

CoRL 2023poster

Learning control policies offline from pre-recorded datasets is a promising avenue for solving challenging real-world problems. However, available datasets are typically of mixed quality, with a limited number of the trajectories that we would consider as positive examples; i.e., high-quality demons…

Cited by 8SourceScholar
2023

Incipient Slip Detection with a Biomimetic Skin Morphology

IROS 2023poster

Incipient slip is defined as the slippage of part, but not all, of the contact surface between a sensor and an object. Reliably detecting incipient slip in artificial tactile sensors would benefit autonomous robot handling capabilities by helping prevent object slippage during manipulation. Here, we…

Cited by 5SourceScholar