3 citations · 5 across the 9 of their papers we have counts for
9 papers
From Perception to Assistance: Open-Vocabulary Shared Autonomy for Robotic Manipulation
Murilo Vinicius da Silva, Ricardo V. Godoy, Juliano Negri +3
Teleoperating a robotic manipulator in industrial environments demands precision that camera-based interfaces alone struggle to deliver. The operator must align the end-effector wi…
AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics
Ranulfo Bezerra, Satoshi Tadokoro, Kazunori Ohno
The convergence of Artificial Intelligence, the Internet of Things, and Robotics is no longer a futuristic vision; it is rapidly becoming the foundation of real-time, intelligent,…
Language-Guided Grasping under Partial Observation for Mobile Manipulation in Field Inspection and Maintenance
Dilermando Almeida, Juliano Negri, Guilherme Lazzarini +5
Offshore inspection and maintenance have increasingly been using legged robots for routine sensing, yet many useful interventions still require physical interaction with tools, con…
Semantic Enrichment of CAD-Based Industrial Environments via Scene Graphs for Simulation and Reasoning
Nathan Pascal Walus, Ranulfo Bezerra, Shotaro Kojima +3
Utilizing functional elements in an industrial environment, such as displays and interactive valves, provide effective possibilities for robot training. When preparing simulations…
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…
Region of Interest Loss for Anonymizing Learned Image Compression
Christoph Liebender, Ranulfo Bezerra, Kazunori Ohno +1
The use of AI in public spaces continually raises concerns about privacy and the protection of sensitive data. An example is the deployment of detection and recognition methods on…