Lifelong visual-tactile spectral clustering for robotic object perception

Y Liu, Y Cong, G Sun, Z Ding - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
This work presents a novel visual-tactile fused clustering framework, called L ifelong V isual-
T actile S pectral C lustering (ie, LVTSC), to effectively learn consecutive object clustering …

Dynamically growing neural network architecture for lifelong deep learning on the edge

D Piyasena, M Thathsara… - … Conference on Field …, 2020 - ieeexplore.ieee.org
Conventional deep learning models are trained once and deployed. However, models
deployed in agents operating in dynamic environments need to constantly acquire new …

Lifelong Learning of Acoustic Events for Robot Audition

B Bayram, G İnce - 2023 IEEE/SICE International Symposium …, 2023 - ieeexplore.ieee.org
Scene analysis relies on sensing and understanding the events and objects in a dynamic
environment. Lifelong robot learning for scene analysis is a continuous process to learn …

Interactive task learning from corrective feedback

M Appelgren - 2022 - era.ed.ac.uk
In complex teaching scenarios it can be difficult for teachers to exhaustively express all
information a learner requires to master a task. However, the teacher, who will have …

対話ロボットの技術と課題: 対話システム研究者の観点から

中野幹生 - 日本ロボット学会誌, 2021 - jstage.jst.go.jp
人間と言語でコミュニケーションを行える自律ロボットは古くから望まれてきた. 本稿ではそのような
ロボットを対話ロボットとよび, 対話システム研究者の観点から対話ロボットの研究課題と将来展望を …

FPGA acceleration of continual learning at the edge

PGP Duvindu - 2021 - dr.ntu.edu.sg
Edge AI systems are increasingly being adopted in a wide range of application domains.
These systems typically deploy Convolutional Neural Network (CNN) models on edge …