4 papers
Data-Driven Dynamic Parameter Learning of manipulator robots
Mohammed Elseiagy, Tsige Tadesse Alemayoh, Ranulfo Bezerra +2
Bridging the sim-to-real gap remains a fundamental challenge in robotics, as accurate dynamic parameter estimation is essential for reliable model-based control, realistic simulati…
Adaptive Cost-Map-based Path Planning in Partially Unknown Environments with Movable Obstacles
Liviu-Mihai Stan, Ranulfo Bezerra, Shotaro Kojima +4
Reliable navigation in disaster-response and other unstructured indoor settings requires robots not only to avoid obstacles but also to recognise when those obstacles can be pushed…
Conveying Surroundings Information of a Robot End-Effector by Adjusting Controller Button Stiffness
Noel Alejandro Avila Campos, Masashi Konyo, Ranulfo Bezerra +2
This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates hapt…
Vibrotactile Feedback for a Remote Operated Robot with Noise Subtraction Based on Perceived Intensity
Ryoma Yamawaki, Takeru Shimamura, Noel Alejandro Avila Campos +4
There is a growing demand for teleoperated robots. This paper presents a novel method for reducing vibration noise generated by robot's own motion, which can disrupt the quality of…