Search Results for author: Francisco Melo

Found 3 papers, 2 papers with code

Perceive, Represent, Generate: Translating Multimodal Information to Robotic Motion Trajectories

no code implementations6 Apr 2022 Fábio Vital, Miguel Vasco, Alberto Sardinha, Francisco Melo

We present Perceive-Represent-Generate (PRG), a novel three-stage framework that maps perceptual information of different modalities (e. g., visual or sound), corresponding to a sequence of instructions, to an adequate sequence of movements to be executed by a robot.

Explainable Agency by Revealing Suboptimality in Child-Robot Learning Scenarios

1 code implementation6 Nov 2020 Silvia Tulli, Marta Couto, Miguel Vasco, Elmira Yadollahi, Francisco Melo, Ana Paiva

In the application scenario, the child and the robot learn together how to play a zero-sum game that requires logical and mathematical thinking.

Explanation Generation

Class Teaching for Inverse Reinforcement Learners

2 code implementations29 Nov 2019 Manuel Lopes, Francisco Melo

In this paper we propose the first machine teaching algorithm for multiple inverse reinforcement learners.

Cannot find the paper you are looking for? You can Submit a new open access paper.