For most real-world applications, robots need to adapt and learn continu...
With the introduction of collaborative robots, humans and robots can now...
For real-world applications, robots will need to continually learn in th...
Continual learning (CL) has emerged as an important avenue of research i...
For robots to assist users with household tasks, they must first learn a...
For long-term deployment in dynamic real-world environments, assistive r...
In this paper, we consider a challenging but realistic continual learnin...
Assistive robots operating in household environments would require items...
Robots may soon play a role in higher education by augmenting learning
e...
Deep learning has achieved remarkable success in object recognition task...
Children learn continually by asking questions about the concepts they a...
For many real-world robotics applications, robots need to continually ad...
The two main impediments to continual learning are catastrophic forgetti...
Social norms support coordination and cooperation in society. With socia...
For many applications, robots will need to be incrementally trained to
r...
Incremental learning attempts to develop a classifier which learns
conti...
Teaching robots new skills using minimal time and effort has long been a...
This paper contributes a novel method for RGB-D indoor scene classificat...
Deception has a long history in the study of intelligent systems. Animal...