From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
Nicholas RoyIngmar PosnerTim D. BarfootPhilippe BeaudoinYoshua BengioJeannette BohgOliver BrockIsabelle DepatieDieter FoxDaniel E. KoditschekTomás Lozano-PérezVikash MansinghkaChristopher J. PalBlake A. RichardsDorsa SadighStefan SchaalGaurav S. SukhatmeDenis ThérienMarc ToussaintMichiel van de PannePublished in: CoRR (2021)
Keyphrases
- machine learning
- artificial intelligence
- machine intelligence
- computer vision
- intelligent systems
- key issues
- intelligent robots
- lessons learned
- sensory motor
- decision trees
- cognitive science
- open issues
- machine learning methods
- information extraction
- general intelligence
- intelligence community
- technical challenges
- natural language processing
- transfer learning
- human intelligence
- text classification
- supervised learning
- active learning
- real world
- human level
- industrial robots
- machine learning approaches
- robotic systems
- learning problems
- learning tasks
- information processing
- model selection
- computational intelligence
- knowledge discovery
- computer science
- decision making
- learning algorithm
- data mining