Photo courtesy of deepsense.ai

Palo Alto, CA, USA and Warsaw, Poland - September 13, 2017

In a recent research project, members of deepsense.ai’s machine learning team, Maciej Klimek, Henryk Michalewski and Piotr Miłoś, trained a robotic arm to grip a can of coke using reinforcement learning - in other words, through trial and error.

The particular method the team developed was selected for presentation at the prestigious new robotics conference, the 1st Annual Conference on Robot Learning (CoRL 2017).

http://www.robot-learning.org/home  

http://www.robot-learning.org/home/program#keynotes  

Keynote speakers Photo courtesy of CoRL 2017

The conference focuses on the intersection of robotics and machine learning and is being organized with the help of the International Foundation of Robotics Research (IFRR).

http://ifrr.org/  

Keynote speakers Photo courtesy of CoRL 2017

deepsense.ai’s ‘Hierarchical Reinforcement Learning with Parameters’ will be featured along with 10 other standout archival papers on reinforcement learning and robotics selected for presentation at the conference and publication after the event.

http://www.robot-learning.org/accepted-papers  

Keynote speakers Photo courtesy of CoRL 2017

The novelty of the approach presented in the paper comes from a clever division between simpler micro-actions and general goals.

The methods developed by deepsense.ai’s team are not limited to robotic arms, but could be used, for example, to train humanoid robots to combine single steps into a walk or a run.

Henryk Michalewski, PHD Senior Data Scientist at deepsense.ai and Assistant Professor, University of Warsaw. Photo courtesy of LinkedIn

According to Henryk Michalewski, Senior Data Scientist at deepsense.ai  and  an assistant professor at the University of Warsaw,
“In recent years reinforcement learning has brought a number of striking new ideas to practical computer science. First, the DeepMind team managed to create bots which achieved superhuman performance in arcade games. Then, using a more sophisticated training methodology, they created a bot which beat the top human player at Go. A few weeks ago Open AI showed a bot that defeated the best human players at DOTA 2. At deepsense.ai, we also research reinforcement learning used in robotics, and we’re happy to have our work recognized on the international AI scene”.

Photo courtesy of CoRL 2017

Watch short videos with the robotic arm actions simulated during research.

https://www.youtube.com/playlist?list=PLNA2zkX4O8uzv6h3FJmyahztt6aAc21SK  


About deepsense.ai

deepsense.ai delivers AI solutions and supports organizations in unlocking their data potential at all stages.

https://deepsense.ai/  

The company created Neptune, a Machine Learning Lab provided as a service for data scientists to speed up the development and productionization of machine learning models.

https://neptune.ml/  

The company’s second product, Seahorse, is a visual framework powered by Apache Spark that helps data scientists rapidly develop Spark applications.

https://deepsense.ai/seahorse/  

deepsense.ai was founded and is managed by CodiLime, an IT consulting and software engineering company providing professional services for global clients in three core areas: Networks, Security and Big Data & Data Science.

https://www.codilime.com/  


Press contact

Barbara Rutkowska
T: +48 530 816 780
E: barbara@deepsense.ai  


Source: CodiLime

https://www.codilime.com/press-center/  



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