Add to ORKGIn this paper, we describe about a study of dead-reckoning algorithm for mecanum wheel based mobile robot under various types of road surface. Because of mecanum wheel based mobile robot can move omni-direction by utilizing tire-road surface friction. Therefore depending on road surface condition, it is difficult to estimate accurate self-position by applying conventional dead-reckoning method. In order to overcome inaccuracy of conventional dead-reckoning method for mecanum wheel based mobile robot, we propose new dead-reckoning algorithm. Validity of proposed algorithm is confirmed by extensive actual experiment under various types of road surface
Ground autonomous mobile robots have important applications, such as reconnaissance, patrol, planeta...
Purpose - The purpose of this paper is to explore a novel measurement approach for wheel-terrain con...
Off-road ground mobile robots are widely used in diverse applications, both in terrestrial and plane...
This paper provides the review and prototype development of mecanum wheels mobile robot (MWMR) for o...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
A novel model-based method for odometry calculation of all-terrain mobile robots is proposed in this...
A novel model-based method for odometry calculation of all-terrain mobile robots is proposed in this...
This paper provides the review and prototype development of mecanum wheels mobile robot (MWMR). Nowa...
Future outdoor mobile robots will have to explore larger and larger areas, performing difficult task...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
In this paper, an accurate method of updating the configuration pose (dead reckoning) for differenti...
International audienceThe evolution of population needs, together with the necessity of environment ...
The main objective of this research is to study the obstacle avoidance, monte carlo localization (MC...
Abstract—This paper introduces a model-based approach to es-timating longitudinal wheel slip and det...
Ground autonomous mobile robots have important applications, such as reconnaissance, patrol, planeta...
Purpose - The purpose of this paper is to explore a novel measurement approach for wheel-terrain con...
Off-road ground mobile robots are widely used in diverse applications, both in terrestrial and plane...
This paper provides the review and prototype development of mecanum wheels mobile robot (MWMR) for o...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
A novel model-based method for odometry calculation of all-terrain mobile robots is proposed in this...
A novel model-based method for odometry calculation of all-terrain mobile robots is proposed in this...
This paper provides the review and prototype development of mecanum wheels mobile robot (MWMR). Nowa...
Future outdoor mobile robots will have to explore larger and larger areas, performing difficult task...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
Our research goal is to realize a robust navigation in indoor and outdoor environment for autonomous...
In this paper, an accurate method of updating the configuration pose (dead reckoning) for differenti...
International audienceThe evolution of population needs, together with the necessity of environment ...
The main objective of this research is to study the obstacle avoidance, monte carlo localization (MC...
Abstract—This paper introduces a model-based approach to es-timating longitudinal wheel slip and det...
Ground autonomous mobile robots have important applications, such as reconnaissance, patrol, planeta...
Purpose - The purpose of this paper is to explore a novel measurement approach for wheel-terrain con...
Off-road ground mobile robots are widely used in diverse applications, both in terrestrial and plane...