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Found 7 papers, 1 papers with code
Fine-Grained is Too Coarse: A Novel Data-Centric Approach for Efficient Scene Graph Generation
However, no current approaches in Scene Graph Generation (SGG) aim at providing useful graphs for downstream tasks.
Interactive Machine Learning: A State of the Art Review
In this paper, we provide a comprehensive analysis of the state-of-the-art of iML.
Commonsense Reasoning for Identifying and Understanding the Implicit Need of Help and Synthesizing Assistive Actions
Human-Robot Interaction (HRI) is an emerging subfield of service robotics.
Robots Learn Increasingly Complex Tasks with Intrinsic Motivation and Automatic Curriculum Learning
Multi-task learning by robots poses the challenge of the domain knowledge: complexity of tasks, complexity of the actions required, relationship between tasks for transfer learning.
RoboCup@Home Education 2020 Best Performance: RoboBreizh, a modular approach
In 2020, the RoboCup@Home Education challenge was organized online, altering the usual competition rules.
Hierarchical Affordance Discovery using Intrinsic Motivation
To be capable of lifelong learning in a real-life environment, robots have to tackle multiple challenges.
Towards A Theory-Of-Mind-Inspired Generic Decision-Making Framework
Simulation is widely used to make model-based predictions, but few approaches have attempted this technique in dynamic physical environments of medium to high complexity or in general contexts.
