The Robot Report

Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity

Humanoid says its KinetIQ Ascend approach can reach 99.9% manipulation reliability at human speed and beyond for industrial ...

Free-text answers and LLMs reveal hidden reasons behind human choices

Why do people make the choices they do? Researchers from the Center Synergy of Systems (SynoSys) at TUD Dresden University of Technology, the Max Planck Institute for Human Development, and the ...
IEEE

Supervision-Enhanced Deep Reinforcement Learning for Hybrid Action in BVR Engagement

Abstract: Deep reinforcement learning has gained increasing popularity in the beyond visual range engagement of unmanned combat aerial vehicles. Regardless of the success of the maneuvering decision, ...
IEEE

Action recognition from egocentric videos using RGB + Depth modalities

Abstract: In recent years, action recognition from egocentric videos has emerged as an important research problem. Existing solutions to this problem mostly rely on supervised learning methods and ...