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The State of Lifelong Learning in Service Robots: Current Bottlenecks in
  Object Perception and Manipulation
v1v2v3 (latest)

The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation

Journal of Intelligent and Robotic Systems (J Intell Robot Syst), 2020
18 March 2020
S. Kasaei
J. Melsen
Floris van Beers
Christiaan Steenkist
K. Vončina
ArXiv (abs)PDFHTML

Papers citing "The State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation"

5 / 5 papers shown
Towards Lifelong Federated Learning in Autonomous Mobile Robots with
  Continuous Sim-to-Real Transfer
Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer
Xianjia Yu
Jorge Pena Queralta
Tomi Westerlund
FedML
177
18
0
31 May 2022
Lifelong Ensemble Learning based on Multiple Representations for
  Few-Shot Object Recognition
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition
Hamidreza Kasaei
Songsong Xiong
297
16
0
04 May 2022
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended
  Domains
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains
Hamidreza Kasaei
Sha Luo
Remo Sasso
Mohammadreza Kasaei
316
19
0
03 Jun 2021
MVGrasp: Real-Time Multi-View 3D Object Grasping in Highly Cluttered
  Environments
MVGrasp: Real-Time Multi-View 3D Object Grasping in Highly Cluttered Environments
Hamidreza Kasaei
Mohammadreza Kasaei
3DPC
391
52
0
19 Mar 2021
Mind Your Manners! A Dataset and A Continual Learning Approach for
  Assessing Social Appropriateness of Robot Actions
Mind Your Manners! A Dataset and A Continual Learning Approach for Assessing Social Appropriateness of Robot ActionsFrontiers in Robotics and AI (Front. Robot. AI), 2020
Jonas Tjomsland
Sinan Kalkan
Hatice Gunes
238
24
0
24 Jul 2020
1
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