Cristian Camilo Beltran-Hernandez

Cristian Camilo Beltran-Hernandez

PhD Student in Robotics & Artificial Intelligence

Osaka University

Biography

Cristian C. Beltran-Hernandez is a Ph.D. student at the Graduate School of Engineering Science at Osaka University working on the Robot Manipulation Laboratory. His research interests include robot motion planning, reinforcement learning, computer vision, and software development for robotics. His current research is focused on industrial robot manipulators towards automation of the manufacturing industry.

Download my resumé.

Interests
  • Artificial Intelligence
  • Reinforcement Learning
  • Robot Manipulation
  • Artificial Vision
Education
  • PhD Student in Robotics & Artificial Intelligence, 2019

    Osaka University

  • MEng in Intelligent Systems, 2019

    Osaka University

  • BSc in Computer Science, 2013

    University of La Sabana

Languages

🇪🇸
Spanish

Native

🇺🇸
English

Professional proficiency

🇯🇵
Japanese

Conversational (N3)

Skills

Robotics

80%

ai
Machine Learning

80%

ros
Robot Operating System

100%

Python

100%

Java

100%

cpp
C++

50%

Linux

70%

Docker

80%

Git

80%

SQL Databases

80%

Android

50%

Experience and Education

 
 
 
 
 
MoveIt - Google Summer of Code GSoC 2022
Robotic Engineer
Jun 2022 – Present Remote
Developing a new trajectory execution module for MoveIt to allow multiple robots to run simultaneously.
 
 
 
 
 
Osaka University
Doctoral Course
Oct 2019 – Present Osaka, Japan

Topics:

 
 
 
 
 
OMRON Sinic X
Research Internship - Part Time
Oct 2021 – Present Remote
Support of robotic system developed for the WRS2020 competition during my in-site internship.
 
 
 
 
 
OMRON Sinic X
Research Internship - Full Time
Apr 2021 – Sep 2021 Tokyo, Japan
Implementation of a ROS-based autonomous robotic system for industrial assembly. Additionally, developing motion controllers on top of the motion planner framework MoveIt. Results: Our system was showcased at the World Robot Summit (WRS2020) on the Industrial Robot Category - Assembly Challenge. We obtained 3rd place and a special award from the Japanese Society of Artificial Intelligence JSAI.
 
 
 
 
 
Osaka University & FUJIFILM Corporation
Joint Research Project
Osaka University & FUJIFILM Corporation
Oct 2018 – Apr 2021 Osaka, Japan
Working with Prof Kensuke Harada and Fujifilm R&D to create motion planning solutions for industrial assembly tasks based on Reinforcement Learning techniques. Results: a patent and a publication
 
 
 
 
 
Osaka University
Master in Engineering Course
Oct 2017 – Sep 2019 Osaka, Japan

Topics:

  • Learning robot manipulation via Reinforcement Learning.
  • Learning force control for contact-rich manipulations with position controlled robots.
 
 
 
 
 
Osaka University
Research Student
Apr 2017 – Sep 2017 Osaka, Japan

Topics:

  • Robotics and intelligent systems.
  • Motion planning and control.
 
 
 
 
 
La Cadena retail Solutions Ltda
Software Developer
Oct 2016 – Mar 2017 Bogota, Colombia
Design and development of an administrative web application. Backend based on Java 8 using Spring framework and its modules Spring Boot, Spring Security, Spring Cloud and Spring Rest. Database Microsoft SQL Server. Frontend based on JavaScript ES6, React JS, Redux and Material Design. Communication based on Restful Webservices.
 
 
 
 
 
Netlogistic
Software Engineer
Oct 2013 – Apr 2016 Bogota, Colombia
Software design and implementation aimed at supply chain, mainly warehouse management systems (WMS RedPrairie / JDA). Responsible for design, implementation and integration of new modules and customizations on a multi-language environment: Java, C#, C, Groovy, SQL Server, Oracle SQL and PL SQL. Meanwhile, providing consulting services during phases of design, configuration, implementation, and go-live of warehouse management systems (RedPraire /JDA) with several national and international clients.
 
 
 
 
 
SF International
Internship
Jan 2013 – Jun 2013 Bogota, Colombia

Responsibilities include:

  • Web service development based on Java language
  • Design, development and implementation of databases based on Oracle SQL and Microsoft SQL Server.
  • Software development for IBM applications based on C# language
 
 
 
 
 
University of La Sabana
Computer Science Degree
Jan 2013 – Jun 2013 Chia, Colombia
Thesis topic: Development of a fuzzy Logic-based system to monitor and control an algae bio-reactor on a PLC.

Honors and Awards

WRS2020
Executive committe chairperson’s award for excellence: 3rd Place Assembly Challenge
World Robot Summit 2020. Our team O2AC placed 3rd at the Industrial Robotics Category, Assembly Challenge.
JSAI
JSAI Award
Recognition of our solution as a superior system in the Assembly Challenge, O2AC team by Japanese Society of Artificial Intelligence
SI2019
Best Oral Presentation (優秀講演賞)
第20回計測自動制御学会システムインテグレーション部門講演会 (SI2019)
SII2019
Best Paper Award Finalist
2019 IEEE/SICE International Symposium on System Integrations (SII)
RSJ
Finalist of International Session Best Paper Award
The 26th Annual Conference of the Robotics Society of Japan
MEXT
Academic Scholarship
Academic scholarship by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT)
coursera
Mobile Cloud Computing with Android Specialization
Offered by University of Maryland, College Park, Vanderbilt University
See certificate

Recent & Upcoming Talks

1re Encuentro International de Robotica CORHUILA 2021
The 1st International Symposium on Symbiotic Intelligent Systems

Recent Publications

Quickly discover relevant content by filtering publications.
(2022). An Adaptive Imitation Learning Framework for Robotic Complex Contact-Rich Insertion Tasks. Frontiers in Robotics and AI.

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(2021). Hybrid Trajectory and Force Learning of Complex Assembly Tasks: A Combined Learning Framework. IEEE Access 2021.

PDF Cite DOI

(2021). Robotic Imitation of Human Assembly Skills Using Hybrid Trajectory and Force Learning. ICRA 2021.

Cite preprint

(2019). Hybrid position-force control with reinforcement learning. In SI2019.

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(2019). ロボットの制御装置、制御方法、及びプログラム. 出願番号(国際出願番号):特願2020-109801 / 公開番号(公開出願番号):特開2021-091079.

Source Document

(2019). Learning to Grasp with Primitive Shaped Object Policies. In SII2019.

PDF Cite Code DOI

(2019). Reinforcement Learning Framework for Real-world Robotic Arm. In RSJ2019.

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(2018). Industry 4.0, Intelligent Visual Assisted Picking Approach. MIKE 2018.

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(2018). Learning to grasp with guided policy search. In RSJ2018.

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Academic activities

Program Committee: Reinforcement Learning for Contact-Rich Manipulation Workshop
Technical Program Committee Member
Reviewer at IEEE Transactions on Automation Science and Engineering
Reviewer at international conferences ICRA, IROS, CASE…
Reviewer at IEEE Robotics and Automation Letters

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