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Bonghan Cho

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

3 papers
2 author rows

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3

ICRA Conference 1998 Conference Paper

Building integrated Mobile Robots for Soccer Competition

  • Wei-Min Shen
  • Jafar Adibi
  • Rogelio Adobbati
  • Bonghan Cho
  • Ali Erdem
  • Hadi Moradi
  • Behnam Salemi
  • Sheila Tejada

Robot soccer competition provides an excellent opportunity for robotics research. In particular, robot players in a soccer game must perform real-time visual recognition, navigate in a dynamic field, track moving objects, collaborate with teammates, and strike the ball in the correct direction. All these tasks demand robots that are autonomous (sensing, thinking, and acting as independent creatures), efficient (functioning under time and resource constraints), cooperative (collaborating with each other to accomplish tasks that are beyond individual's capabilities), and intelligent (reasoning and planing actions and perhaps learning from experience). Furthermore, all these capabilities must be integrated into a single and complete system. To build such integrated robots, we should use different approaches from those employed in separate research disciplines. This paper describes our experience (problems and solutions) in this aspect for building soccer robots. Our robots share the same general architecture and basic hardware, but they have integrated abilities to play different roles and utilize different strategies in their behavior. Our philosophy in building these robots is to use the least possible sophistication to make them as robust as possible. In RoboCup97, our Dreamteam robots performed well (scored 8 of 9 goals of all teams in the league) and won the world championship in the middle-sized robot league.

AAAI Conference 1996 Conference Paper

YODA: The Young Observant Discovery Agent

  • Wei-Min Shen
  • Bonghan Cho
  • Jihie Kim

The YODA project at USC/ISI consists of a group of young researchers who share a passion for autonomous systems that can bootstrap their knowledge of real environments by exploration, experimentation, learning, and discovery. Our goal is to create a mobile agent that can autonomously learn from its environment based on its own actions, percepts, and missions.