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Outputs (9)

Smaller and faster robotic grasp detection model via knowledge distillation and unequal feature encoding (2024)
Journal Article

In order to achieve higher accuracy, the complexity of grasp detection network increases accordingly with complicated model structures and tremendous parameters. Although various light-weight strategies are adopted, directly designing the compact net... Read More about Smaller and faster robotic grasp detection model via knowledge distillation and unequal feature encoding.

Dynamic movement primitives-based human action prediction and shared control for bilateral robot teleoperation (2024)
Journal Article

This article presents a novel shared-control teleoperation framework that integrates imitation learning and bilateral control to achieve system stability based on a new dynamic movement primitives (DMPs) observer. First, a DMPs-based observer is firs... Read More about Dynamic movement primitives-based human action prediction and shared control for bilateral robot teleoperation.

BioTacTip: A soft biomimetic optical tactile sensor for efficient 3D contact localization and 3D force estimation (2024)
Journal Article

In this letter, we introduce a new soft biomimetic optical tactile sensor based on mimicking the interlocking structure of the epidermal-dermal boundary: the BioTacTip. The primary sensing unit comprises a sharp white tip surrounded by four black cov... Read More about BioTacTip: A soft biomimetic optical tactile sensor for efficient 3D contact localization and 3D force estimation.

A dynamic movement primitives-based tool use skill learning and transfer framework for robot manipulation (2024)
Journal Article

This paper presents a framework for learning and transferring robot tool-use skills based on Dynamic Movement Primitives (DMPs) for robot fine manipulation. DMPs and their enhanced methods are employed to acquire a specific tool-use skill applicable... Read More about A dynamic movement primitives-based tool use skill learning and transfer framework for robot manipulation.

MechTac: A multifunctional tendon-linked optical tactile sensor for in/out-the-field-of-view perception with deep learning (2023)
Presentation / Conference Contribution

Tactile sensors can be used for motion detection and object perception in robot manipulation. The contact detection within the camera's visual inspection area has been well-developed, but perception outside the field of view of the camera is overlook... Read More about MechTac: A multifunctional tendon-linked optical tactile sensor for in/out-the-field-of-view perception with deep learning.