Sign language recognition: A deep survey
Sign language, as a different form of the communication language, is important to large
groups of people in society. There are different signs in each sign language with variability …
groups of people in society. There are different signs in each sign language with variability …
Trends and challenges in robot manipulation
BACKGROUND Humans have a fantastic ability to manipulate objects of various shapes,
sizes, and materials and can control the objects' position in confined spaces with the …
sizes, and materials and can control the objects' position in confined spaces with the …
Human-to-robot imitation in the wild
One-shot imitation from observing humans via domain-adaptive meta-learning
Humans and animals are capable of learning a new behavior by observing others perform
the skill just once. We consider the problem of allowing a robot to do the same--learning …
the skill just once. We consider the problem of allowing a robot to do the same--learning …
A review of robot learning for manipulation: Challenges, representations, and algorithms
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …
interacting with the world around them to achieve their goals. The last decade has seen …
Intelligent disassembly of electric-vehicle batteries: a forward-looking overview
Retired electric-vehicle lithium-ion battery (EV-LIB) packs pose severe environmental
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
hazards. Efficient recovery of these spent batteries is a significant way to achieve closed …
Deep learning in robotics: a review of recent research
Advances in deep learning over the last decade have led to a flurry of research in the
application of deep artificial neural networks to robotic systems, with at least 30 papers …
application of deep artificial neural networks to robotic systems, with at least 30 papers …
Zero-shot visual imitation
The current dominant paradigm for imitation learning relies on strong supervision of expert
actions to learn both'what'and'how'to imitate. We pursue an alternative paradigm wherein an …
actions to learn both'what'and'how'to imitate. We pursue an alternative paradigm wherein an …
A state-of-the-art review on mobile robotics tasks using artificial intelligence and visual data
Nowadays, the field of mobile robotics has experienced an important evolution and these
robots are more commonly proposed to solve different tasks autonomously. The use of …
robots are more commonly proposed to solve different tasks autonomously. The use of …