50 citations · 51 across the 16 of their papers we have counts for
17 papers
Mind the Phase: Effective Rank and Representation Health in Legged Locomotion
Felipe Tommaselli, Thiago H. Segreto, Juliano D. Negri +2
Reinforcement learning has become the leading paradigm in legged locomotion, enabling complex behaviors from backflips to parkour via massively parallel simulation. Under PPO's non…
VLN on the Fly: An Onboard Vision-Language Navigation Stack for Aerial Robots
Marco S. Tayar, Felipe Tommaselli, Gianluca Capezutto +7
Running vision-language navigation fully onboard an aerial robot is hard, since grounding, planning, and control must share limited compute and a single-stage error is difficult to…
MIRA: A Modular Open-Source Micro-UAV for Indoor Research
Lucas K. de Oliveira, Felipe Tommaselli, Felipe A. G. Tommaselli +6
Indoor robotics research increasingly relies on micro-UAV platforms whose airframes, electronics, and control software are open to modification. Off-the-shelf platforms often lack…
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…
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…
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
Accurate taxonomic identification of parasitoid wasps within the superfamily Ichneumonoidea is essential for biodiversity assessment, ecological monitoring, and biological control…
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…
Evaluating Zero-Shot and One-Shot Adaptation of Small Language Models in Leader-Follower Interaction
Rafael R. Baptista, André de Lima Salgado, Ricardo V. Godoy +3
Leader-follower interaction is an important paradigm in human-robot interaction (HRI). Yet, assigning roles in real time remains challenging for resource-constrained mobile and ass…
Descriptor: Parasitoid Wasps and Associated Hymenoptera Dataset (DAPWH)
Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Luciana Bueno Dos Reis Fernandes +7
Accurate taxonomic identification is the cornerstone of biodiversity monitoring and agricultural management, particularly for the hyper-diverse superfamily Ichneumonoidea. Comprisi…
A Synthetic Dataset for Manometry Recognition in Robotic Applications
Pedro Antonio Rabelo Saraiva, Enzo Ferreira de Souza, Joao Manoel Herrera Pinheiro +3
This paper addresses the challenges of data scarcity and high acquisition costs in training robust object detection models for complex industrial environments, such as offshore oil…
Optimizing Grasping in Legged Robots: A Deep Learning Approach to Loco-Manipulation
Dilermando Almeida, Guilherme Lazzarini, Juliano Negri +3
This paper presents a deep learning framework designed to enhance the grasping capabilities of quadrupeds equipped with arms, with a focus on improving precision and adaptability.…
Autonomous UAV Flight Navigation in Confined Spaces: A Reinforcement Learning Approach
Marco S. Tayar, Lucas K. de Oliveira, Felipe Andrade G. Tommaselli +4
Autonomous UAV inspection of confined industrial infrastructure, such as ventilation ducts, demands robust navigation policies where collisions are unacceptable. While Deep Reinfor…
A Vision-Based Shared-Control Teleoperation Scheme for Controlling the Robotic Arm of a Four-Legged Robot
Murilo Vinicius da Silva, Matheus Hipolito Carvalho, Juliano Negri +4
In hazardous and remote environments, robotic systems perform critical tasks demanding improved safety and efficiency. Among these, quadruped robots with manipulator arms offer mob…
The Impact of Feature Scaling In Machine Learning: Effects on Regression and Classification Tasks
João Manoel Herrera Pinheiro, Suzana Vilas Boas de Oliveira, Thiago Henrique Segreto Silva +5
This research addresses the critical lack of comprehensive studies on feature scaling by systematically evaluating 12 scaling techniques - including several less common transformat…
MIHRaGe: A Mixed-Reality Interface for Human-Robot Interaction via Gaze-Oriented Control
Rafael R. Baptista, Nina R. Gerszberg, Ricardo V. Godoy +1
Individuals with upper limb mobility impairments often require assistive technologies to perform activities of daily living. While gaze-tracking has emerged as a promising method f…
Improving Failure Prediction in Aircraft Fastener Assembly Using Synthetic Data in Imbalanced Datasets
Gustavo J. G. Lahr, Ricardo V. Godoy, Thiago H. Segreto +4
Automating aircraft manufacturing still relies heavily on human labor due to the complexity of the assembly processes and customization requirements. One key challenge is achieving…