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Self-calibrating active depth perception via motion parallax
Tanapol Prucksakorn;Sungmoon Jeong;Jochen Triesch;Hosun Lee;Nak Young Chong
2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
Year: 2016 | Conference Paper |
Cited by: Papers (1)
A hallmark of biological systems is their ability to self-calibrate sensory-motor loops during their development. Understanding the principles of such self-calibration will enable the design of robots with similar autonomous learning abilities. Here we consider the problem of active depth perception based on motion parallax. When an observer moves sideways while looking at an object with a single ...Show More
Fast radiation mapping and multiple source localization using topographic contour map and incremental density estimation
Abdullah Al Redwan Newaz;Sungmoon Jeong;Hosun Lee;Hyejeong Ryu;Nak Young Chong;Matthew T. Mason
2016 IEEE International Conference on Robotics and Automation (ICRA)
Year: 2016 | Conference Paper |
Cited by: Papers (19)
Toward a global picture of the radiation exposure of an area, particularly for fast emergency response, a UAV based exploration method is proposed. Without a priori knowledge of the radiation field, it is difficult to select the region of interest (ROI) which includes all radiation sources. For the case of a single radiation source, a greedy algorithm may localize the source by finding the maximum...Show More
Adaptive point-based value iteration for continuous states POMDP in goal-directed imitation learning
2012 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI)
Year: 2012 | Conference Paper |
In motion planning and robot navigation, continuous domain would be the natural way of representation of state space. However, discretization is needed in order to deal with continuous state space. Results precision depends on the discretization, which leads to a problem of “curse of dimensionality”. We present a new approximation approach of goal-directed imitation learning algorithm using the po...Show More
Development of Kalman Filter based two-port Body Force Observer for the flexible joint: Design and experiments
2012 IEEE International Conference on Robotics and Automation
Year: 2012 | Conference Paper |
One of the main reasons for using a joint torque sensor in a robot is to measure body forces acting on the system. Especially, the motor actuating torque and the external link torque are important for a flexible joint control. However, it is difficult to measure or estimate those two torques simultaneously with a single joint torque sensor only due to the lack of information. In this paper, Kalman...Show More
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