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The ability to acquire and respond appropriately to targets or obstacles. moving or stationary, while underway, is critical for all unmanned mobile robot applications. This is achieved by most animate systems, but has proven difficult for artificial systems. We propose that efficient and extensible solutions to the target acquisition, discrimination, and maintenance problem may be found when the machine sensor-effector control algorithms emulate the mechanisms employed by biological systems. In nature. visual motion provides the basis for these functions. Because visual motion can be due either to target motion or to platform motion, a method of motion segmentation must be found. We present a solution to this problem that emulates natural strategies, and describe its implementation in an autonomous visually controlled mobile robot.

The ability to acquire and respond appropriately to targets or obstacles. moving or stationary, while underway, is critical for all unmanned mobile robot applications. This is achieved by most animate systems, but has proven difficult for artificial systems. We propose that efficient and extensible solutions to the target acquisition, discrimination, and maintenance problem may be found when the machine sensor-effector control algorithms emulate the mechanisms employed by biological systems. In nature. visual motion provides the basis for these functions. Because visual motion can be due either to target motion or to platform motion, a method of motion segmentation must be found. We present a solution to this problem that emulates natural strategies, and describe its implementation in an autonomous visually controlled mobile robot.

A positioning and navigation method based on stereo vision, compass and encoders is presented. It has been used in an autonomous mobile robot which developed by the group of the authors. The compass and encoders are used complementarily each other to get correct position. 3D vision-based path-planning makes the robot walk along a better path each calculation cycle and avoid bumping other objects. This navigation system is cheap and convenient to create, and is effective in practice. Complex positioning, environment mapping, path-planning and behavior-based navigation algorithm are discussed is this paper.

A story of love and innocence, by one of India's most loved novelist/ poets of the 20th century, the mentor of Rabindrath Tagore. (Summary by Czandra)

2Poison Tree

By Bankim Chandra Chatterjee

This is a passionate tale of self-effacing and self-sacrificing love of Suraj Mukhi for her husband, Nagendra; innocent and pure love of Kunda Nandani for Nagendra; lust of Debendra for Kunda Nandani; undying love of Nagendra for Suraj Mukhi clouded by his infatuation for Kunda Nandani. (Summary by Vineymala)