This coming weekend, the UMBC chess team will play for the President’s Cup in the Final Four of College Chess. UMBC will compete with chess teams from Webster University, the University of Illinois at Urbana Champaign, and Texas Tech University.

The match has been held each year since 2001 between the top four US schools from the Pan American Intercollegiate Team Chess Championship and the winner is considered the top chess team among U.S. colleges and universities.  UMBC has placed first at the Final Four a record six times.

CSEE Professor Alan Sherman, who is the director of the UMBC chess program, will accompany the team to the match, which will be held at the New York Athletic Club in New York City on Friday through Sunday, April 4-6, 2014. Games will be broadcast live on Monroi.

The UMBC team will consist of:

• Board 1: GM Niclas “The Dark Knight” Huschenbeth (USCF rating 2610)
• Board 2: GM Akshayraj “The Indian Knight” Kore (2519)
• Board 3: M Levan “The Georgian Gangster” Bregadze (2469)
• Board 4: IM and WGM Nazi “The Black Widow” Paikidze (2378)
• Alternate: WGM Sabina “Sunshine” Foisor (2315)

This coming weekend, the UMBC chess team will play for the President’s Cup in the Final Four of College Chess. UMBC will compete with chess teams from Webster University, the University of Illinois at Urbana Champaign, and Texas Tech University.

The match has been held each year since 2001 between the top four US schools from the Pan American Intercollegiate Team Chess Championship and the winner is considered the top chess team among U.S. colleges and universities.  UMBC has placed first at the Final Four a record six times.

CSEE Professor Alan Sherman, who is the director of the UMBC chess program, will accompany the team to the match, which will be held at the New York Athletic Club in New York City on Friday through Sunday, April 4-6, 2014. Games will be broadcast live on Monroi.

The UMBC team will consist of:

• Board 1: GM Niclas “The Dark Knight” Huschenbeth (USCF rating 2610)
• Board 2: GM Akshayraj “The Indian Knight” Kore (2519)
• Board 3: M Levan “The Georgian Gangster” Bregadze (2469)
• Board 4: IM and WGM Nazi “The Black Widow” Paikidze (2378)
• Alternate: WGM Sabina “Sunshine” Foisor (2315)

Talking to Robots: Learning to Ground Human
Language in Robotic Perception

Cynthia Matuszek
University of Washington

1:00pm Monday, 7 April 2014, ITE325b, UMBC

Advances in computation, sensing, and hardware are enabling robots to perform an increasing variety of tasks in ever less constrained settings. It is now possible to imagine robots that can operate in traditionally human-centric settings. However, such robots need the flexibility to take instructions and learn about tasks from nonspecialists using language and other natural modalities. At the same time, learning to process natural language about the physical world is difficult without a robot’s sensors and actuators. Combining these areas to create useful robotic systems is a fundamentally multidisciplinary problem, requiring advances in natural language processing, machine learning, robotics, and human-robot interaction. In this talk, I describe my work on learning natural language from end users in a physical context; such language allows a person to communicate their needs in a natural, unscripted way. I demonstrate that this approach can enable a robot to follow directions, learn about novel objects in the world, and perform simple tasks such as navigating an unfamiliar map or putting away objects.

Cynthia Matuszek is a Ph.D. candidate in the University of Washington Computer Science and Engineering department, where she is a member of both the Robotics and State Estimation lab and the Language, Interaction, and Learning group. She earned a B.S. in Computer Science from the University of Texas at Austin, and M.Sc. from the University of Washington. She is published in the areas of artificial intelligence, robotics, ubiquitous computing, and human-robot interaction.

Talking to Robots: Learning to Ground Human
Language in Robotic Perception

Cynthia Matuszek
University of Washington

1:00pm Monday, 7 April 2014, ITE325b, UMBC

Advances in computation, sensing, and hardware are enabling robots to perform an increasing variety of tasks in ever less constrained settings. It is now possible to imagine robots that can operate in traditionally human-centric settings. However, such robots need the flexibility to take instructions and learn about tasks from nonspecialists using language and other natural modalities. At the same time, learning to process natural language about the physical world is difficult without a robot’s sensors and actuators. Combining these areas to create useful robotic systems is a fundamentally multidisciplinary problem, requiring advances in natural language processing, machine learning, robotics, and human-robot interaction. In this talk, I describe my work on learning natural language from end users in a physical context; such language allows a person to communicate their needs in a natural, unscripted way. I demonstrate that this approach can enable a robot to follow directions, learn about novel objects in the world, and perform simple tasks such as navigating an unfamiliar map or putting away objects.

Cynthia Matuszek is a Ph.D. candidate in the University of Washington Computer Science and Engineering department, where she is a member of both the Robotics and State Estimation lab and the Language, Interaction, and Learning group. She earned a B.S. in Computer Science from the University of Texas at Austin, and M.Sc. from the University of Washington. She is published in the areas of artificial intelligence, robotics, ubiquitous computing, and human-robot interaction.

Well there is no need to splurge on an expensive bike on a college student's budget. The perfect solution is the RetrieverFleet! The program is free (unless renting overnight) and consists of 6 Diamondback bikes!

How does it work?

You hand your UMBC I.D. to the RAC staff and check out a bike—they come with locks and helmets. Bikes are due back to the RAC 15 minutes before closing time to avoid the overnight charge.

Need the bike for more than one day?

The program allows for overnight rentals at the rate of $17 per day and the first day is free. 

Author: Uyen Nguyen, OCSS Sustainability Outreach Intern

UMBC ACM Student Chapter

Tech Talk: What can a Humanoid Robot Learn?

Professor Tim Oates, UMBC

10:00am-11:00am Friday, 4 April 2014, ITE346

We hope everyone had a fun spring break! We are back with another talk in our UMBC ACM techTalk series. Professor Tim Oates, who is also one of the faculty advisers of the ACM student chapter, will talk about “What can a Humanoid Robot Learn?”. Dr. Oates will split the talk into two sessions. In the first half, he will introduce the topic and talk about current research being pursued in the area of humanoid robots. Whereas, the second half of the talk will be an interactive session focusing on ideating challenges and future research directions. To make the discussion interactive, Dr. Oates encourages you to spend a few minutes beforehand to think about what you would do if you had access to a humanoid robot for research purposes.

Abstract: Robots and AI have a long history together, both in the popular culture and in research.  In this talk I will review some of my past work at the juncture of robotics, AI, and machine learning, as well as ongoing work with collaborators at UMCP along the same lines.  With those collaborators, I wrote a proposal to buy a few humanoid robots that was funded, so I’ll next describe the robots that we’ve bought.  Finally, I’d like to have an open discussion about my ideas for research using these robots, and ideas that those in the audience might have as well.  My goal is to get as many people as is practical involved with the robots, which are relatively expensive and thus not a common resource.  If you’re coming to the talk, spend a few minutes beforehand thinking about what you would do if you had access to a humanoid robot for research purposes.

Dr. Tim Oates is an Oros Familty Professor of Computer Science at the University of Maryland Baltimore County. He received B.S. degrees in Computer Science and Electrical Engineering from North Carolina State University in 1989, and M.S. and Ph.D. degrees from the University of Massachusetts Amherst in 1997 and 2000, respectively. Prior to coming to UMBC in the Fall of 2001, he spent a year as a postdoc in the Artificial Intelligence Lab at the Massachusetts Institute of Technology. In 2004 Dr. Oates won a prestigious NSF CAREER award. He is an author or co-author of more than 100 peer reviewed papers and is a member of the Association for Computing Machinery and the Association for the Advancement of Artificial Intelligence. His research interests include pattern discovery in time series, grammatical inference, graph mining, statistical natural language processing, robotics, and language acquisition.

RSVP for the talk at http://my.umbc.edu/events/23881

UMBC ACM Student Chapter

Tech Talk: What can a Humanoid Robot Learn?

Professor Tim Oates, UMBC

10:00am-11:00am Friday, 4 April 2014, ITE346

We hope everyone had a fun spring break! We are back with another talk in our UMBC ACM techTalk series. Professor Tim Oates, who is also one of the faculty advisers of the ACM student chapter, will talk about “What can a Humanoid Robot Learn?”. Dr. Oates will split the talk into two sessions. In the first half, he will introduce the topic and talk about current research being pursued in the area of humanoid robots. Whereas, the second half of the talk will be an interactive session focusing on ideating challenges and future research directions. To make the discussion interactive, Dr. Oates encourages you to spend a few minutes beforehand to think about what you would do if you had access to a humanoid robot for research purposes.

Abstract: Robots and AI have a long history together, both in the popular culture and in research.  In this talk I will review some of my past work at the juncture of robotics, AI, and machine learning, as well as ongoing work with collaborators at UMCP along the same lines.  With those collaborators, I wrote a proposal to buy a few humanoid robots that was funded, so I’ll next describe the robots that we’ve bought.  Finally, I’d like to have an open discussion about my ideas for research using these robots, and ideas that those in the audience might have as well.  My goal is to get as many people as is practical involved with the robots, which are relatively expensive and thus not a common resource.  If you’re coming to the talk, spend a few minutes beforehand thinking about what you would do if you had access to a humanoid robot for research purposes.

Dr. Tim Oates is an Oros Familty Professor of Computer Science at the University of Maryland Baltimore County. He received B.S. degrees in Computer Science and Electrical Engineering from North Carolina State University in 1989, and M.S. and Ph.D. degrees from the University of Massachusetts Amherst in 1997 and 2000, respectively. Prior to coming to UMBC in the Fall of 2001, he spent a year as a postdoc in the Artificial Intelligence Lab at the Massachusetts Institute of Technology. In 2004 Dr. Oates won a prestigious NSF CAREER award. He is an author or co-author of more than 100 peer reviewed papers and is a member of the Association for Computing Machinery and the Association for the Advancement of Artificial Intelligence. His research interests include pattern discovery in time series, grammatical inference, graph mining, statistical natural language processing, robotics, and language acquisition.

RSVP for the talk at http://my.umbc.edu/events/23881

Volunteers needed for research study.

The Role of Skin Color & Hair Politics

in Black Women’s College Experiences

Latasha Eley is a graduate student in the UMBC Language, Literacy, & Culture doctoral program conducting research to explore the ways in which Black, female, undergraduate students’ experiences are impacted by hair and skin hue politics within campus culture.  Please contact her (leley1@umbc.edu) for more information if you meet the following eligibility criteria and are interested in participating:

•       Black/African American

•       Female

•       18-25

•       Enrolled at UMBC full-time

You will be asked to share your on and off campus experiences, as they relate to hair and skin color, individually or in a small group setting of no more than twelve students for participation in a focus group.  Focus Group participants will receive a free pizza dinner.  Individual Interview participants will receive $20 cash.