activity
20202026
most citedEstimation of articulated angle in six-wheeled dump trucks using multiple GNSS receivers for autonomous driving

10 citations · 16 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026★ 3 cited

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,…

cs.RO2026

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…

cs.RO2025

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…

cs.RO2025★ 1 cited

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…

cs.RO2025★ 1 cited

Automatic Operation of an Articulated Dump Truck: State Estimation by Combined QZSS CLAS and Moving-Base RTK Using Multiple GNSS Receivers

Taro Suzuki, Shotaro Kojima, Kazunori Ohno +5

Labor shortage due to the declining birth rate has become a serious problem in the construction industry, and automation of construction work is attracting attention as a solution…

cs.CV2024★ 1 cited

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…