Author

Eric A. Antonelo

5 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Open access Oct 2026

Investigating Behavior Cloning from Few Demonstrations for Autonomous Driving Based on Bird's-Eye View in Simulated Cities

This approach enhances BC by integrating a kernel density estimator to adjust training sample weights based on action density, thereby improving the learning of rare but critical actions such as stopping at red lights and accelerating at green lights, specially in scenarios of scarce number of expert demonstrations.

Eric A. Antonelo, Gustavo Claudio Karl Couto, Christiane Möller et al. · Brazilian Conference on Inte... · 4 citations

#machine learning Preprint Sep 2026

Disagreement-Regularized Imitation Learning for Image-Based Continuous Control with Gaussian and Beta Policies

Purpose: Behavior cloning can accumulate errors when a learned controller visits states outside the demonstrated distribution. This study evaluates whether Disagreement-Regularized Imitation Learning (DRIL), which converts disagreement among cloned policies into a reinforcement-learning reward, improves image-based con...

I. G. B. Petrazzini, Eric A. Antonelo · 0 citations

#artificial intelligence Preprint Sep 2026

Closed-Loop Evaluation of Bird's-Eye-View Maps from Cross-View Transformers as Inputs to Behavior-Cloning Policies

In autonomous driving, Bird's-Eye View (BEV) representations provide a structured, top-down abstraction of the vehicle's surroundings and have become a key input modality for Behavioral Cloning (BC) policies. While ground-truth BEV maps are readily available in simulation, real-world deployment requires replacing them...

Felipe Dos Santos, Eric A. Antonelo, Gustavo Claudio Karl Couto · 0 citations

#artificial intelligence Preprint Sep 2026

A Low-Cost, Open Platform for End-to-End Autonomous Driving on a Miniature Ackermann Vehicle

This paper presents a low-cost, open experimental platform for research in end-to-end autonomous driving with miniature Ackermann vehicles. The platform combines a physical vehicle, a printed urban track, data collection tools, trajectory registration, and a Webots digital twin, enabling controlled experiments that con...

Gustavo Claudio Karl Couto, Eric A. Antonelo, Gabriel George Zipperer · 1 citation

#machine learning Preprint Sep 2026

A Study of Conditional Diffusion Models for Open-Loop Control under Dry Friction and Stiction

Results indicate that conditional diffusion provides an effective mechanism for generating temporally coherent control sequences that overcome stiction by conditioning and recombining structured control primitives from the training prior for state-to-state open-loop control.

Eric A. Antonelo · 0 citations