most citedA Practical Roadmap to Learning from Demonstration for Robotic Manipulators in Manufacturing

14 citations · 14 across the 1 of their papers we have counts for

collaborators

1 paper

cs.RO2025

Motion Control in Multi-Rotor Aerial Robots Using Deep Reinforcement Learning

Gaurav Shetty, Mahya Ramezani, Hamed Habibi +2

This paper investigates the application of Deep Reinforcement (DRL) Learning to address motion control challenges in drones for additive manufacturing (AM). Drone-based additive ma…