From the 2 of 15 linked papers with an AI index.
15 papers
Towards Capability-Aware Traversability Navigation for Unstructured Environments
Gianluca Capezzuto, Felipe Tommaselli, Matheus P. Angarola +2
Estimating traversability in unstructured environments requires conditioning on robot embodiment, as the same terrain can be traversable for one platform and unsafe for another. Ex…
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…
Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI
Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos +7
The paper presents a YOLO-based deep learning system combined with HiResCAM to automatically identify Ichneumonoidea wasp families from high‑resolution images, achieving over 96% a…
MIRA: A Modular Open-Source Micro-UAV for Indoor Research
Lucas K. de Oliveira, Felipe A. G. Tommaselli, João Aires Marsicano +5
MIRA is a low-cost, open-source micro-UAV with a modular 3D‑printed airframe and containerized software that enables low‑latency companion‑to‑autopilot communication for indoor rob…
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…
Biological Sex Determination in Cadavers Using Deep Learning Algorithms from Computed Tomography Images of Pelvis and Skull
Giovanna Herculano Tormena, Davi Nascimento Araújo, Germano Coimbra Soares de Carvalho +10
Sexual identification of decomposed cadavers challenges traditional methods dependent on visual anthropological analysis. This study evaluates state-of-the-art deep learning (inclu…