Ricardo Omar Chávez García

According to our database, Ricardo Omar Chávez García authored at least 20 papers between 2010 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Gait-dependent Traversability Estimation on the k-rock2 Robot.

Ricardo Omar Chávez García, Matthew A. Estrada, Mohammadreza Ebrahimi, Francesco Zuppichini, Luca Maria Gambardella, Alessandro Giusti, Auke Jan Ijspeert

Proceedings of the 26th International Conference on Pattern Recognition, 2022

2020

Path Planning With Local Motion Estimations.

Jérôme Guzzi, R. Omar Chavez-Garcia, Mirko Nava, Luca Maria Gambardella, Alessandro Giusti

IEEE Robotics Autom. Lett., 2020

Learning to Predict Metal Deformations in Hot-Rolling Processes.

R. Omar Chavez-Garcia, Emian Furger, Samuele Kronauer, Christian Brianza, Marco Scarfò, Luca Diviani, Alessandro Giusti

IEEE Robotics Autom. Lett., 2020

2019

Learning Long-Range Perception Using Self-Supervision From Short-Range Sensors and Odometry.

Mirko Nava, Jerome Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti

IEEE Robotics Autom. Lett., 2019

On the Impact of Uncertainty for Path Planning.

Jérôme Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti

Proceedings of the International Conference on Robotics and Automation, 2019

Demo: Learning to Perceive Long-Range Obstacles Using Self-Supervision from Short-Range Sensors.

Mirko Nava, Jérôme Guzzi, R. Omar Chavez-Garcia, Luca Maria Gambardella, Alessandro Giusti

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Learning Ground Traversability From Simulations.

R. Omar Chavez-Garcia, Jerome Guzzi, Luca Maria Gambardella, Alessandro Giusti

IEEE Robotics Autom. Lett., 2018

Toward Self-Aware Robots.

Raja Chatila, Erwan Renaudo, Mihai Andries, Ricardo Omar Chávez García, Pierre Luce-Vayrac, Raphaël Gottstein, Rachid Alami, Aurélie Clodic, Sandra Devin, Benoît Girard, Mehdi Khamassi

Frontiers Robotics AI, 2018

Affordance Equivalences in Robotics: A Formalism.

Mihai Andries, Ricardo Omar Chávez García, Raja Chatila, Alessandro Giusti, Luca Maria Gambardella

Frontiers Neurorobotics, 2018

2017

Image Classification for Ground Traversability Estimation in Robotics.

R. Omar Chavez-Garcia, Jérôme Guzzi, Luca Maria Gambardella, Alessandro Giusti

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Multiple Sensor Fusion and Classification for Moving Object Detection and Tracking.

Ricardo Omar Chávez García, Olivier Aycard

IEEE Trans. Intell. Transp. Syst., 2016

Discovering and Manipulating Affordances.

R. Omar Chavez-Garcia, Mihai Andries, Pierre Luce-Vayrac, Raja Chatila

Proceedings of the International Symposium on Experimental Robotics, 2016

Discovering affordances through perception and manipulation.

Ricardo Omar Chávez García, Pierre Luce-Vayrac, Raja Chatila

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2014

Multiple Sensor Fusion for Detection, Classification and Tracking of Moving Objects in Driving Environments. (Fusion multi-capteur pour la detection, classification et suivi d'objets mobiles en environnement routier).

Ricardo Omar Chávez García

PhD thesis, 2014

Fusion at detection level for frontal object perception.

Ricardo Omar Chávez García, Trung-Dung Vu, Olivier Aycard

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

2013

Fusion framework for moving-object classification.

Ricardo Omar Chávez García, Trung-Dung Vu, Olivier Aycard, Fabio Tango

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

Frontal object perception using radar and mono-vision.

Ricardo Omar Chávez García, Julien Burlet, Trung-Dung Vu, Olivier Aycard

Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

2011

Using a Markov Random Field for Image Re-ranking Based on Visual and Textual Features.

Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Enrique Sucar

Computación y Sistemas, 2011

2010

A Probabilistic Method for Ranking Refinement in Geographic Information Retrieval.

Esaú Villatoro-Tello, Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Luis Enrique Sucar

Proces. del Leng. Natural, 2010

Image Re-Ranking Based on Relevance Feedback Combining Internal and External Similarities.

Ricardo Omar Chávez García, Manuel Montes-y-Gómez, Luis Enrique Sucar

Proceedings of the Twenty-Third International Florida Artificial Intelligence Research Society Conference, 2010