2 citations · 3 across the 9 of their papers we have counts for
10 papers
VLN on the Fly: An Onboard Vision-Language Navigation Stack for Aerial Robots
Marco S. Tayar, Felipe Tommaselli, Gianluca Capezutto +6
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…
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…
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…
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…
EEG-Based Epileptic Seizure Prediction Using Temporal Multi-Channel Transformers
Ricardo V. Godoy, Tharik J. S. Reis, Paulo H. Polegato +7
Epilepsy is one of the most common neurological diseases, characterized by transient and unprovoked events called epileptic seizures. Electroencephalogram (EEG) is an auxiliary met…