3 papers
eess.SP2025
IF-D: A High-Frequency, General-Purpose Inertial Foundation Dataset for Self-Supervised Learning
Patrick Ferreira, Paula Costa
We present IF-D, a large-scale inertial dataset designed to enable self-supervised and foundational learning for IMU time series. IF-D comprises continuous, long-duration multichan…
cs.LG2025
Learning To Explore With Predictive World Model Via Self-Supervised Learning
Alana Santana, Paula P. Costa, Esther L. Colombini
Autonomous artificial agents must be able to learn behaviors in complex environments without humans to design tasks and rewards. Designing these functions for each environment is n…
cs.RO2025
InstructRobot: A Model-Free Framework for Mapping Natural Language Instructions into Robot Motion
Iury Cleveston, Alana C. Santana, Paula D. P. Costa +3
The ability to communicate with robots using natural language is a significant step forward in human-robot interaction. However, accurately translating verbal commands into physica…