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Continual Learning for Robotics: Definition, Framework, Learning
  Strategies, Opportunities and Challenges
v1v2v3 (latest)

Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges

29 June 2019
Timothée Lesort
Vincenzo Lomonaco
Andrei Stoian
Davide Maltoni
David Filliat
Natalia Díaz Rodríguez
    CLL
ArXiv (abs)PDFHTML

Papers citing "Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges"

50 / 101 papers shown
Title
Exploring the Stability Gap in Continual Learning: The Role of the
  Classification Head
Exploring the Stability Gap in Continual Learning: The Role of the Classification Head
Wojciech Łapacz
Daniel Marczak
Filip Szatkowski
Tomasz Trzciñski
94
1
0
06 Nov 2024
Covariance-based Space Regularization for Few-shot Class Incremental
  Learning
Covariance-based Space Regularization for Few-shot Class Incremental Learning
Yijie Hu
Guanyu Yang
Zhaorui Tan
Xiaowei Huang
K. Huang
Qiu-Feng Wang
CLL
93
0
0
02 Nov 2024
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
Yi Yang
Lei Zhong
Huiping Zhuang
3DPCCLL
95
0
0
18 Sep 2024
Continual Learning for Adaptable Car-Following in Dynamic Traffic
  Environments
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments
Xianda Chen
PakHin Tiu
Xu Han
Junjie Chen
Yuanfei Wu
Xinhu Zheng
Meixin Zhu
70
0
0
17 Jul 2024
Lifelong Robot Library Learning: Bootstrapping Composable and
  Generalizable Skills for Embodied Control with Language Models
Lifelong Robot Library Learning: Bootstrapping Composable and Generalizable Skills for Embodied Control with Language Models
Georgios Tziafas
Hamidreza Kasaei
KELMLM&Ro
98
9
0
26 Jun 2024
Towards Lifelong Learning of Large Language Models: A Survey
Towards Lifelong Learning of Large Language Models: A Survey
Junhao Zheng
Shengjie Qiu
Chengming Shi
Qianli Ma
KELMCLL
83
28
0
10 Jun 2024
Feature Expansion and enhanced Compression for Class Incremental
  Learning
Feature Expansion and enhanced Compression for Class Incremental Learning
Quentin Ferdinand
G. Chenadec
Benoit Clement
Panagiotis Papadakis
Quentin Oliveau
CLL
74
0
0
13 May 2024
Continual Learning in the Presence of Repetition
Continual Learning in the Presence of Repetition
Hamed Hemati
Lorenzo Pellegrini
Xiaotian Duan
Zixuan Zhao
Fangfang Xia
...
Shiji Zhao
Shao-Yuan Li
Sheng-Jun Huang
Vincenzo Lomonaco
Gido M. van de Ven
CLL
86
4
0
07 May 2024
Continual Learning for Robust Gate Detection under Dynamic Lighting in
  Autonomous Drone Racing
Continual Learning for Robust Gate Detection under Dynamic Lighting in Autonomous Drone Racing
Zhongzheng Qiao
Xuan Huy Pham
Savitha Ramasamy
Xudong Jiang
Erdal Kayacan
Andriy Sarabakha
61
2
0
02 May 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
84
2
0
10 Apr 2024
Continual Policy Distillation of Reinforcement Learning-based
  Controllers for Soft Robotic In-Hand Manipulation
Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
Lanpei Li
Enrico Donato
Vincenzo Lomonaco
Egidio Falotico
61
2
0
05 Apr 2024
Continual Learning of Unsupervised Monocular Depth from Videos
Continual Learning of Unsupervised Monocular Depth from Videos
Hemang Chawla
Arnav Varma
Elahe Arani
Bahram Zonooz
80
6
0
04 Nov 2023
Design Principles for Lifelong Learning AI Accelerators
Design Principles for Lifelong Learning AI Accelerators
Dhireesha Kudithipudi
Anurag Daram
Abdullah M. Zyarah
Fatima Tuz Zohora
J. Aimone
...
Emre Neftci
M. Mattina
Vincenzo Lomonaco
Clare D. Thiem
Benjamin Epstein
109
17
0
05 Oct 2023
Self-Supervised Prediction of the Intention to Interact with a Service
  Robot
Self-Supervised Prediction of the Intention to Interact with a Service Robot
Gabriele Abbate
Alessandro Giusti
Viktor Schmuck
Oya Celiktutan
Antonio Paolillo
SSL
70
13
0
14 Sep 2023
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy
  Scenes: Entropy-based Mini-Batch Pseudo-Replay
Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay
Guan-Feng Wang
Long Bai
Yanan Wu
Tong Chen
Hongliang Ren
CLL
86
19
0
27 Aug 2023
Survey on video anomaly detection in dynamic scenes with moving cameras
Survey on video anomaly detection in dynamic scenes with moving cameras
Runyu Jiao
Yi Wan
Fabio Poiesi
Yiming Wang
104
11
0
14 Aug 2023
IF2Net: Innately Forgetting-Free Networks for Continual Learning
IF2Net: Innately Forgetting-Free Networks for Continual Learning
Depeng Li
Tianqi Wang
Bingrong Xu
Kenji Kawaguchi
Zhigang Zeng
Ponnuthurai Nagaratnam Suganthan
CLL
402
2
0
18 Jun 2023
Multi-View Class Incremental Learning
Multi-View Class Incremental Learning
Depeng Li
Tianqi Wang
Junwei Chen
Kenji Kawaguchi
Cheng Lian
Zhigang Zeng
CLL
130
9
0
16 Jun 2023
Low-rank extended Kalman filtering for online learning of neural
  networks from streaming data
Low-rank extended Kalman filtering for online learning of neural networks from streaming data
Peter Chang
Gerardo Duran-Martín
Alexander Y. Shestopaloff
Matt Jones
Kevin P. Murphy
BDL
116
20
0
31 May 2023
Quantum Convolutional Neural Networks for Multi-Channel Supervised
  Learning
Quantum Convolutional Neural Networks for Multi-Channel Supervised Learning
Anthony M. Smaldone
Gregory W. Kyro
V.S. Batista
48
15
0
30 May 2023
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Continual Learning through Human-Robot Interaction: Human Perceptions of a Continual Learning Robot in Repeated Interactions
Ali Ayub
Zachary De Francesco
Patrick Holthaus
Chrystopher L. Nehaniv
Kerstin Dautenhahn
CLLHAI
107
7
0
22 May 2023
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason K. Eshraghian
83
63
0
18 May 2023
Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
XAI
102
303
0
02 May 2023
Continual Learning of Hand Gestures for Human-Robot Interaction
Continual Learning of Hand Gestures for Human-Robot Interaction
Xavier Cucurull
A. Garrell
62
2
0
13 Apr 2023
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and
  Training Refinement
CILIATE: Towards Fairer Class-based Incremental Learning by Dataset and Training Refinement
Xuan Gao
Juan Zhai
Shiqing Ma
Chao Shen
Yufei Chen
Shiwei Wang
63
2
0
09 Apr 2023
Projected Latent Distillation for Data-Agnostic Consolidation in
  Distributed Continual Learning
Projected Latent Distillation for Data-Agnostic Consolidation in Distributed Continual Learning
Antonio Carta
Andrea Cossu
Vincenzo Lomonaco
D. Bacciu
Joost van de Weijer
FedML
54
5
0
28 Mar 2023
Preserving Linear Separability in Continual Learning by Backward Feature
  Projection
Preserving Linear Separability in Continual Learning by Backward Feature Projection
Qiao Gu
Dongsub Shim
Florian Shkurti
CLLKELM
52
12
0
26 Mar 2023
Adiabatic replay for continual learning
Adiabatic replay for continual learning
Alexander Krawczyk
A. Gepperth
80
3
0
23 Mar 2023
World Models and Predictive Coding for Cognitive and Developmental
  Robotics: Frontiers and Challenges
World Models and Predictive Coding for Cognitive and Developmental Robotics: Frontiers and Challenges
T. Taniguchi
Shingo Murata
Masahiro Suzuki
D. Ognibene
Pablo Lanillos
...
L. Jamone
Tomoaki Nakamura
Alejandra Ciria
B. Lara
G. Pezzulo
103
57
0
14 Jan 2023
Predictive World Models from Real-World Partial Observations
Predictive World Models from Real-World Partial Observations
Robin Karlsson
Alexander Carballo
Keisuke Fujii
Kento Ohtani
K. Takeda
91
5
0
12 Jan 2023
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for
  Continual Learning
Architect, Regularize and Replay (ARR): a Flexible Hybrid Approach for Continual Learning
Vincenzo Lomonaco
Lorenzo Pellegrini
G. Graffieti
Davide Maltoni
62
2
0
06 Jan 2023
Towards Long-term Autonomy: A Perspective from Robot Learning
Towards Long-term Autonomy: A Perspective from Robot Learning
Zhi Yan
Li Sun
T. Krajník
T. Duckett
Nicola Bellotto
85
3
0
24 Dec 2022
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Evidential Deep Learning for Class-Incremental Semantic Segmentation
Karl Holmquist
Lena Klasén
Michael Felsberg
EDLCLL
54
6
0
06 Dec 2022
Unsupervised Continual Semantic Adaptation through Neural Rendering
Unsupervised Continual Semantic Adaptation through Neural Rendering
Zhizheng Liu
Francesco Milano
Jonas Frey
Roland Siegwart
Hermann Blum
Cesar Cadena
CLL
89
18
0
25 Nov 2022
Continual Learning of Natural Language Processing Tasks: A Survey
Continual Learning of Natural Language Processing Tasks: A Survey
Zixuan Ke
Bin Liu
KELMCLLVLM
108
79
0
23 Nov 2022
Graph Reinforcement Learning Application to Co-operative Decision-Making
  in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Graph Reinforcement Learning Application to Co-operative Decision-Making in Mixed Autonomy Traffic: Framework, Survey, and Challenges
Qi Liu
Xueyuan Li
Zirui Li
Jingda Wu
Guodong Du
Xinlu Gao
Fan Yang
Shihua Yuan
68
8
0
06 Nov 2022
Learning Tool Morphology for Contact-Rich Manipulation Tasks with
  Differentiable Simulation
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
Mengxi Li
Rika Antonova
Dorsa Sadigh
Jeannette Bohg
48
6
0
04 Nov 2022
General Place Recognition Survey: Towards the Real-world Autonomy Age
General Place Recognition Survey: Towards the Real-world Autonomy Age
Peng Yin
Shiqi Zhao
Ivan Cisneros
Abulikemu Abuduweili
Guoquan Huang
Micheal Milford
Changliu Liu
Howie Choset
Sebastian Scherer
69
29
0
09 Sep 2022
Incremental Online Learning Algorithms Comparison for Gesture and Visual
  Smart Sensors
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors
Alessandro Avi
Andrea Albanese
Davide Brunelli
96
10
0
01 Sep 2022
Meta-Learning Online Control for Linear Dynamical Systems
Meta-Learning Online Control for Linear Dynamical Systems
Deepan Muthirayan
D. Kalathil
Pramod P. Khargonekar
83
7
0
18 Aug 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on
  Continual Learning and Functional Composition
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELMCLL
121
29
0
15 Jul 2022
A survey of multimodal deep generative models
A survey of multimodal deep generative models
Masahiro Suzuki
Y. Matsuo
SyDaDRL
82
81
0
05 Jul 2022
Sample Condensation in Online Continual Learning
Sample Condensation in Online Continual Learning
Mattia Sangermano
Antonio Carta
Andrea Cossu
D. Bacciu
DD
81
44
0
23 Jun 2022
Continual Learning for Affective Robotics: A Proof of Concept for
  Wellbeing
Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing
Nikhil Churamani
Minja Axelsson
Atahan Caldir
Hatice Gunes
66
24
0
22 Jun 2022
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation
  of Predictive Models
Continual-Learning-as-a-Service (CLaaS): On-Demand Efficient Adaptation of Predictive Models
Rudy Semola
Vincenzo Lomonaco
D. Bacciu
45
9
0
14 Jun 2022
Continual Pre-Training Mitigates Forgetting in Language and Vision
Continual Pre-Training Mitigates Forgetting in Language and Vision
Andrea Cossu
Tinne Tuytelaars
Antonio Carta
Lucia C. Passaro
Vincenzo Lomonaco
D. Bacciu
KELMVLMCLL
83
72
0
19 May 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
FedMLCLLOODMedIm
81
17
0
26 Apr 2022
Avalanche RL: a Continual Reinforcement Learning Library
Avalanche RL: a Continual Reinforcement Learning Library
Nicolo Lucchesi
Antonio Carta
Vincenzo Lomonaco
Davide Bacciu
82
6
0
28 Feb 2022
Graph Lifelong Learning: A Survey
Graph Lifelong Learning: A Survey
F. Febrinanto
Xiwei Xu
Kristen Moore
Chandra Thapa
Charu C. Aggarwal
CLLAI4CE
120
53
0
22 Feb 2022
Improving Pedestrian Prediction Models with Self-Supervised Continual
  Learning
Improving Pedestrian Prediction Models with Self-Supervised Continual Learning
Luzia Knoedler
C. Salmi
Hai Zhu
B. Brito
Javier Alonso-Mora
SSLCLL
42
14
0
15 Feb 2022
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