activity
20192022
most citedThe State of Lifelong Learning in Service Robots: Current Bottlenecks in Object Perception and Manipulation

2 citations · 3 across the 7 of their papers we have counts for

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Showing cs.ROShow all

5 papers · 1 filter

cs.RO2021

Lifelong 3D Object Recognition and Grasp Synthesis Using Dual Memory Recurrent Self-Organization Networks

Krishnakumar Santhakumar, Hamidreza Kasaei

Humans learn to recognize and manipulate new objects in lifelong settings without forgetting the previously gained knowledge under non-stationary and sequential conditions. In auto…

cs.RO2020★ 2 cited

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

S. Hamidreza Kasaei, Jorik Melsen, Floris van Beers +2

Service robots are appearing more and more in our daily life. The development of service robots combines multiple fields of research, from object perception to object manipulation.…

cs.RO2019

Interactive Open-Ended Learning for 3D Object Recognition

S. Hamidreza Kasaei

The thesis contributes in several important ways to the research area of 3D object category learning and recognition. To cope with the mentioned limitations, we look at human cogni…

cs.RO2019

Object Perception and Grasping in Open-Ended Domains

S. Hamidreza Kasaei

Nowadays service robots are leaving the structured and completely known environments and entering human-centric settings. For these robots, object perception and grasping are two c…

cs.RO2019

Interactive Open-Ended Object, Affordance and Grasp Learning for Robotic Manipulation

S. Hamidreza Kasaei, Nima Shafii, Luis Seabra Lopes +1

Service robots are expected to autonomously and efficiently work in human-centric environments. For this type of robots, object perception and manipulation are challenging tasks du…