ChallengeRocket
  • Product
    • Recruitment Challenges
    • Skill Assessment
    • Direct Hire
    • Hackathons
    • Intern Challenges
  • Challenges
  • Case-studies
  • Employers
  • Log in
  • Join talent network
  • Book demo
Menu
  • Home
  • Challenges
  • NVIDIA® Jetson™ Developer Challenge

This Challenge is completed

NVIDIA® Jetson™ Developer Challenge

NVIDIA® Jetson™ Developer Challenge
  • Winners announced
  • Winners announced
prize pool $42,789

SEE RESULTS

SEE RESULTS

Oct 23, 2017 - Feb 18, 2018 23:59 UTC
Voting: Feb 19 - Mar 04, 2018 23:59 UTC
  • Challenge outline
  • Resources
  • Participants
  • Projects
  • FAQ
  • Results
  • Updates
  • Rules
NVIDIA® Jetson™ Developer Challenge
  • Challenge outline
  • Resources
  • Participants
  • Projects
  • FAQ
  • Results
  • Updates
  • Rules

YC

Yu-Ming Chen

Added: Feb 18, 2018

Zhang-Wei Hong, Yu-Ming Chen, Hsuan-kung Yang, Sih-Ping Lai, Hsin-Wei Hsiao

TAGS

  1. robotics,
  2. deep learning,
  3. reinforcement learning

TYPE OF PROJECT

Robotic Appication

WWW

hellochick.github.io/projects/Sim-to-Real/

VOTES: 3 LIKES: 2

Sim-to-Real Autonomous Robotic Control

  • play
  • Sim-to-Real Autonomous Robotic Control
  • Sim-to-Real Autonomous Robotic Control
  • Sim-to-Real Autonomous Robotic Control
  • Sim-to-Real Autonomous Robotic Control
  • Sim-to-Real Autonomous Robotic Control
  • pdf
  • pdf

    Project description

    Collecting training data from the physical world is usually time-consuming and even dangerous for fragile robots, and thus, recent advances in robot learning advocate the use of simulators as the training platform. Unfortunately, the reality gap between synthetic and real visual data prohibits direct migration of the models trained in virtual worlds to the real world. This project proposes a modular architecture for tackling the virtual-to-real problem. The proposed architecture separates the learning model into a perception module and a control policy module, and uses semantic image segmentation as the meta representation for relating these two modules. The perception module translates the perceived RGB image to semantic image segmentation. The control policy module is implemented as a deep reinforcement learning agent, which performs actions based on the translated image segmentation. Our architecture is evaluated in an obstacle avoidance task and a target following task. Experimental results show that our architecture significantly outperforms all of the baseline methods in both virtual and real environments, and demonstrates a faster learning curve than them. We also present a detailed analysis for a variety of variant configurations, and validate the transferability of our modular architecture. The architecture is implemented on an NVIDIA Jetson TX2 development board, and comprehensively evaluated on real robots.


    • previous project
    • next project

    Comment


    Please login to leave a comment


    Comments (0)


    ChallengeRocket
    Tech talent
    Challenges Blog Find jobs Employers
    Companies
    Business HR Blog Pricing
    Challengerocket
    FAQ EU Join Us Contact Us
    Copyright © 2023 ChallengeRocket. All rights reserved.
    Privacy Terms and Conditions Service status

    Let’s talk

    Proven effectiveness - get up to x3 more candidates and shorter recruitment time.

    In view of your consent, the data you provide will be used by ChallengeRocket Sp. z o.o. based in Rzeszów (address: Pl. Wolności 13/2, 35-073, +48 695 520 111, office@challengerocket.com) to send messages as part of the newsletter subscription. Don't worry, only us and the entities that support us in our activities will have access to data. All information on data processing and your rights can be obtained by contacting us or at www.challengerocket.com in the Privacy Policy tab.

    We will reply within 2 business days.

    Log in


    Forgot your password?

    OR
    Don’t have an account?
    Create a candidate account or a company account

    Log in

    Forgot your password?

    Create a candidate account

    Already have an account?
    Log in
    OR
    • At least 10 characters
    • Uppercase Latin characters
    • Lowercase Latin characters
    • At least one number or symbol

    Not a candidate?  Sign up as an employer

    Reset your password

    Remember your password? Log in Log in for business

    Create an employer account

    Sign up for free.
    Select the best plan to publish job ofers & challenges.

    Company name introduced here will be visible on your job ads.
    • At least 10 characters
    • Uppercase Latin characters
    • Lowercase Latin characters
    • At least one number or symbol

    Not an employer?  Sign up as a candidate