activity
20242026
most citedAI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics

2 citations · 2 across the 3 of their papers we have counts for

collaborators

8 papers

cs.RO2026

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…

cs.RO2026

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…

cs.RO20262 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

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…