ICRA 2021-Workshop on Semantic Representations for Robotics through Continuous Interaction and Incremental Learning
ellis 31 May 2021 - 31 May 2021 Workshop
Robots coexisting with humans in their environment and assisting them in daily tasks should be able to i) learn from interaction with the physical world and humans in a continual way, ii) to interpret situations and reason about action effects, iii) to adapt and generalize learned knowledge and skills to novel environments and tasks and iv) to communicate with humans in a natural and efficient way. Such robots must be able to rapidly create new concepts and react to unanticipated situations in the light of previously acquired knowledge by making generative use of experience utilizing predictive processes. This process is largely driven by internal models based on prior experience. Thus, intelligent robots must also be able to continually learn from others by sharing generative, experience based knowledge through teaching and interaction. Combining exploration-based learning, generative modelling and natural language understanding is fundamental for building interpretable shared representations that are understandable by robots and humans to bootstrap intuitive human-robot interaction and communication.