TANDEM: Learning Joint Exploration and Decision Making With Tactile Sensors
Author:
Affiliation:
1. Department of Computer Science, Columbia University, New York, NY, USA
2. Department of Mechanical Engineering, Columbia University, New York, NY, USA
Funder
NSF
ONR
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering
Link
https://ieeexplore.ieee.org/ielam/7083369/9831196/9839393-aam.pdf
Reference30 articles.
1. Proximal policy optimization algorithms;schulman,2017
2. Tactile object recognition using deep learning and dropout
3. Using haptics to extract object shape from rotational manipulations
4. Using 3D Convolutional Neural Networks for Tactile Object Recognition with Robotic Palpation
5. Haptic object recognition using a multi-fingered dextrous hand;allen,1988
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1. Articulated Object Manipulation with Coarse-to-fine Affordance for Mitigating the Effect of Point Cloud Noise;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. Skin‐Inspired Thermosensitive Tactile Sensor Based on Thermally Conductive and Viscous Interface Composites for Rocks;Advanced Engineering Materials;2023-07-27
3. TANDEM3D: Active Tactile Exploration for 3D Object Recognition;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
4. TactoFind: A Tactile Only System for Object Retrieval;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29
5. Graph Learning in Robotics: A Survey;IEEE Access;2023
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