Luis Contreras

Orcid: 0000-0002-7957-4941

Affiliations:
  • Tamagawa University, Brain Science Institute, Advance Intelligence and Robotics Research Center, Machida, Tokyo, Japan
  • University of Bristol, Computer Science at the Visual Information Laboratory, in the Department of Computer Vision, UK (PhD)
  • National Autonomous University of Mexico, UNAM, Biorobotics Laboratory, Department of Electrical Engineering, DF, Mexico


According to our database1, Luis Contreras authored at least 15 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Keep it Simple: Understanding Natural Language Commands for General-Purpose Service Robots.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

2023
Fail It till You Make It: Error Expectation in Complex-Plan Execution for Service Robots.
Proceedings of the Interactive Collaborative Robotics - 8th International Conference, 2023

2022
Sparse-Map: automatic topological map creation via unsupervised learning techniques.
Adv. Robotics, 2022

Multiview Object and View Sequence Recognition using Hidden Markov Models.
Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2021
Generating Reactive Robots' Behaviors using Genetic Algorithms.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2019
Semantic reasoning in service robots using expert systems.
Robotics Auton. Syst., 2019

Feature detection using Hidden Markov Models for 3D-visual recognition.
Proceedings of the 2019 IEEE International Conference on Autonomous Robot Systems and Competitions, 2019

2018
Intelligent flat-and-textureless object manipulation in Service Robots.
CoRR, 2018

Towards CNN Map Representation and Compression for Camera Relocalisation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017
Towards CNN Map Compression for camera relocalisation.
CoRR, 2017

O-POCO: Online point cloud compression mapping for visual odometry and SLAM.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2015
Trajectory-driven point cloud compression techniques for visual SLAM.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Construction of Roadmaps for Mobile Robots' Navigation Using RGB-D Cameras.
Proceedings of the Intelligent Autonomous Systems 13, 2014

2013
Object detection via receptive field co-occurrence and spatial cloud-point data.
Proceedings of the 16th International Conference on Advanced Robotics, 2013

2011
Development of an Object Recognition and Location System Using the Microsoft KinectTM Sensor.
Proceedings of the RoboCup 2011: Robot Soccer World Cup XV [papers from the 15th Annual RoboCup International Symposium, 2011


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