A deep reinforcement learning algorithm to control a two-wheeled scooter with a humanoid robot
Authors:
- Jacky BaltesJBJacky Baltes
- Guilherme ChristmannGCGuilherme Christmann
- Saeed SaeedvandSSSaeed Saeedvand
- 6 September 2023
- journal article
- research article
- Published by Elsevier in Engineering Applications of Artificial Intelligence
- Vol. 126
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Study on Low-Speed Stability of a MotorcycleApplied Sciences, 2019
- Robust multi-objective multi-humanoid robots task allocation based on novel hybrid metaheuristic algorithmApplied Intelligence, 2019
- Epsilon-multiobjective particle swarm optimization-based tuning of sensitivity functions for polynomial control designTransactions of the Institute of Measurement and Control, 2019
- Balancing control of a bicycle-riding humanoid robot with center of gravity estimationAdvanced Robotics, 2018
- The limits and potentials of deep learning for roboticsThe International Journal of Robotics Research, 2018
- Reduced order modelling based control of two wheeled mobile robotJournal of Intelligent Manufacturing, 2017
- Nonlinear Optimal Control of Oxygen and Carbon Dioxide Levels in BloodIntelligent Industrial Systems, 2016
- Stable control of the bicycle robot on a curved path by using a reaction wheelJournal of Mechanical Science and Technology, 2015
- Bicycle dynamics and control: adapted bicycles for education and researchIEEE Control Systems, 2005
- Learning to Play Games Using a PSO-Based Competitive Learning ApproachIEEE Transactions on Evolutionary Computation, 2004