ArticleSensors (Basel, Switzerland)2019
Learning Spatio Temporal Tactile Features with a ConvLSTM for the Direction Of Slip Detection.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Optimized hierarchical CLSTM model for sentiment classification of tweets using boosted killer whale predation strategy.Scientific reports · 2025Article
- Let's DENSE: a novel protocol for efficiently collecting dense and diverse data for tactile slip detection in robotic grasping.npj Robotics · 2025Article
- Bioinspired trajectory modulation for effective slip control in robot manipulation.Nature machine intelligence · 2025Article
- Universal slip detection of robotic hand with tactile sensing.Frontiers in neurorobotics · 2025Article
- Artificial organic afferent nerves enable closed-loop tactile feedback for intelligent robot.Nature communications · 2024Article
- Soil Moisture and Heat Level Prediction for Plant Health Monitoring Using Deep Learning with Gannet Namib Beetle Optimization in IoT.Applied biochemistry and biotechnology · 2024Article
- Feasibility Study of Convolutional Long ShortTerm Memory Network for Pulmonary Movement Prediction in CT Images.Journal of biomedical physics & engineering · 2024Article
- Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation.Sensors (Basel, Switzerland) · 2023Review
- Dataset with Tactile and Kinesthetic Information from a Human Forearm and Its Application to Deep Learning.Sensors (Basel, Switzerland) · 2022Article
- Polar Vortex Multi-Day Intensity Prediction Relying on New Deep Learning Model: A Combined Convolution Neural Network with Long Short-Term Memory Based on Gaussian Smoothing Method.Entropy (Basel, Switzerland) · 2021Article
- A Non-Array Type Cut to Shape Soft Slip Detection Sensor Applicable to Arbitrary Surface.Sensors (Basel, Switzerland) · 2020Article
- Grasping Force Control of Multi-Fingered Robotic Hands through Tactile Sensing for Object Stabilization.Sensors (Basel, Switzerland) · 2020Article
- Tactile Perception Technologies and Their Applications in Minimally Invasive Surgery: A Review.Frontiers in physiology · 2020Review
- Using 3D Convolutional Neural Networks for Tactile Object Recognition with Robotic Palpation.Sensors (Basel, Switzerland) · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Robotic manipulators have to constantly deal with the complex task of detecting whether a grasp is stable or, in contrast, whether the grasped object is slipping. Recognising the type of slippage-translational, rotational-and its direction is more challenging than detecting only stability, but is simultaneously of greater use as regards correcting the aforementioned grasping issues. In this work, we propose a learning methodology for detecting the direction of a slip (seven categories) using spatio-temporal tactile features learnt from one tactile sensor. Tactile readings are, therefore, pre-processed and fed to a ConvLSTM that learns to detect these directions with just 50 ms of data. We have extensively evaluated the performance of the system and have achieved relatively high results at the detection of the direction of slip on unseen objects with familiar properties (82.56% accuracy).
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Registered trials
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