Since the establishment of Intelligent Robot Learning Laboratory (IRL Lab) in August 2013, the space has turned into a flourishing hub of activity. The laboratory accommodates everything from teaching classes to student clubs and graduate research. The wide range of activities facilitates hands-on learning by multi-disciplinary teams.
Current and future research focuses on developing the lab as a center for innovation and advancement of robotics. Our graduate students are working on algorithms to create autonomous robots. The potential uses of robots is limitless and we want to contribute to its rapid deployment and adoption in education, agriculture, military, manufacturing, and many others.
Read about the article at Live Science:
Read about the article at ScienceDaily:
Kayl Coulston was one of 200+ undergraduates that were invited to present their undergraduate research in the 2016 SURCA held at the Compton Union Building, Senior Ballroom on March 28, 2016. SURCA is an annual event here at WSU to promote undergraduate research from all majors.
Kayl, a junior undergraduate in Computer Science, has been working under Dr. Matthew Taylor since Summer 2015 in building a low-cost autonomous rover that will be utilized to count trees in nursery farms. The current practice involves a farm worker walking through miles and hundreds of rows, while counting the trees manually.
IRL Lab was well represented in the 2016 Graduate & Professional Student Association (GPSA) Research Exposition held at the Compton Union Building, Senior Ballroom on March 25, 2016. IRL Lab members presenting in the event were Bei Peng, Yunshu Du and Zhaodong Wang.
The GPSA Research Exposition is an opportunity for WSU graduate and professional students to showcase their research work that allows networking with fellow WSU graduate student, professors, researchers, and industry representatives as well as to the general public.
Below are links to their research posters:
A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans by Bei Peng
Data Mining the Cougarcard for Student Fitness by Yunshu Du
Effective Transfer via Demonstration in Reinforcement Learning by Zhaodong Wang
We would like to congratulate our very own Yunshu Du who has been selected as this year’s “Outstanding Graduate Computer Science Teaching Assistant”. She will receive the award at the EECS Awards Banquet on April 21st. She has also been selected as the EECS nominee for the college-wide VCEA Outstanding TA Award.
Yunshu was a TA for CptS 223 (Advanced Data Structures) during Fall 2015 and is currently a TA for both CptS 121 (Program Design and Development in C Programming Language) and CptS 483 (Web Development).